武器身管寿命预测模型及内膛参数综合检测系统研究
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摘要
火炮身管内膛参数的变化会直接影响到火炮的身管寿命、射击精度及发射安全。对火炮身管内膛参数进行自动、可靠、高效的检测,不仅可以对火炮身管质量进行合格检测,而且对火炮的身管寿命预测及安全使用具有现实的指导意义。本文主要围绕身管寿命预测模型及内膛参数综合检测系统进行了相关的理论与试验研究。
首先,本文通过对火炮身管寿命预测技术的研究,分析了身管内径、弯曲度及内膛表面质量的变化对火炮使用性能及身管寿命的影响关系。在掌握身管内膛径向磨损是影响身管寿命的主要因素情况下,利用灰色系统理论,针对磨损量与射弹数之间的关系建立了身管寿命灰色预测模型。在灰色GM(1,1)模型基础上,建立了新型灰色组合预测模型及优化的灰色Verhulst预测模型,能够有效地对身管寿命及身管寿命终止时的最大射弹数进行预测。利用某靶场试验基地火炮射击数据及相关文献数据,通过数据验证表明了预测模型的正确性。
其次,根据因身管内膛径向磨损而引起的火炮射击状态下的弹丸初速、膛内压力下降,以及出现射弹散布增大、弹带削光、弹丸早炸,连续引信瞎火和近弹等现象,利用优化的灰色聚类算法及德菲尔法,建立了身管寿命等级的评估模型,能够明确的评估身管寿命在“合格”、“堪用”和“报废”三级状态中的隶属程度,可提前将面临失效的火炮剔除在作战序列之外,这对战时状态或训练起到很好的保障作用,有效地提高了火炮的使用和维护效率。
最后,为了提高身管内径磨损量的采样值精度,以及提高身管加工过程中相关参数检测精度,同时针对目前火炮身管内膛参数检测存在的精度不高、效率低、结构分散等问题,采用模块化设计方法,设计开发了一套集身管内径、弯曲度及内膛表面质量检测于一体的火炮身管内膛参数综合检测系统。本文对设计的综合检测系统进行了试验研究。主要对身管内径、弯曲度及内膛表面质量检测模块进行了现场试验及标定,并建立了相应的误差处理模型以提高检测精度。重点提出运用CCD摄像探头内窥技术,可实现快速、直接的内膛疵病图像的清晰采集,为身管内膛表面质量的等级评定及维护提供了明确的依据。对于目前的测试难点(特别是长身管内)——疵病深度检测,设计了激光位移传感器扫描技术的疵病深度检测方法,相比较于传统的人工拓印检测法、图像深度值法,该方法简单直接,可以进行快速、准确的检测。
The changes of bore parameters will affect the gun barrel's life, firing precision and launch safety directly.If bore parameters is detected automatically, reliably and efficiently, it can not only test the gun barrel's quality qualifiedly, but also offer great realistic significance to the life prediction and the safe use of gun barrel.This paper carries on the related theory and experimental study around the gun barrel life prediction model and comprehensive bore parameters detection system.
First, this paper analyzes the influence relation that the changes of bore parameters including inner diameter,bending and inner surface quality affect the operational performance and the gun barrel life based on the study of gun barrel life prediction technology.Because the radial wear is one of the important factors which affects the gun barrel's life, the paper establishes the gun barrel life grey prediction model about the wear volume and the number of projectile by using the grey system theory. Based on grey GM(1,1) model, a new grey combination forecast model and a optimization grey Verhulst model are established. They can effectively forecast the gun barrel's life and the maximum number of projectile at the end of life.The gun shooting range test data and related literature data show the correctness of the model through data validation.
Second, according to the decline of muzzle velocity of projectile and bore pressure caused by radial wear and the phenomenon of the projectiles scattered, elastic tape dubbing, premature explosion of projectile, fuze dud in a row and near-bombs and so on, the parer establishes a dynamic evaluation model of the gun barrel life level by the optimized grey clustering algorithm and Delphi Technique method. It can definitely assess the membership degree of state of the body tube life in"qualified","as in" and "scrap", and it can reject the guns which will become invalid out of the battle sequence in advance. So the state of war or training can be protected well and the use and the maintenance of artillery can be improved effectively.
Finally, in order to improve the inner wear sampling value, the related parameters detection precision of the processing quality and in view of the problems that the present gun bore parameters detection accuracy is not high, low efficiency, structure dispersion at the same time, the paper uses modular design method to design a set of comprehensive bore parameters detection system of gun barrel with three functions, measurement of internal diameter, inner surface and bending. In this paper, the design of the parameters bore comprehensive test system is experimentally studied. The study focus on field testing and calibrating the body tube inner diameter, curvature and bore surface quality, and the corresponding error model is established to improve the test accuracy.Using CCD camera probe endoscopic technology is put forward, which can realize the fast and direct collection of bore image clarity and provides a clear basis for the rating and maintenance of surface quality of the gun barrel life. For the current test difficult of fault depth measurement (especially the long gun barrel), it designs the laser displacement sensor fault depth measurement method of scanning technology. Compared with traditional artificial rubbing method and image depth value method, the method is more simple and more direct, and the method can carry out rapid and accurate measurement.
首先,本文通过对火炮身管寿命预测技术的研究,分析了身管内径、弯曲度及内膛表面质量的变化对火炮使用性能及身管寿命的影响关系。在掌握身管内膛径向磨损是影响身管寿命的主要因素情况下,利用灰色系统理论,针对磨损量与射弹数之间的关系建立了身管寿命灰色预测模型。在灰色GM(1,1)模型基础上,建立了新型灰色组合预测模型及优化的灰色Verhulst预测模型,能够有效地对身管寿命及身管寿命终止时的最大射弹数进行预测。利用某靶场试验基地火炮射击数据及相关文献数据,通过数据验证表明了预测模型的正确性。
其次,根据因身管内膛径向磨损而引起的火炮射击状态下的弹丸初速、膛内压力下降,以及出现射弹散布增大、弹带削光、弹丸早炸,连续引信瞎火和近弹等现象,利用优化的灰色聚类算法及德菲尔法,建立了身管寿命等级的评估模型,能够明确的评估身管寿命在“合格”、“堪用”和“报废”三级状态中的隶属程度,可提前将面临失效的火炮剔除在作战序列之外,这对战时状态或训练起到很好的保障作用,有效地提高了火炮的使用和维护效率。
最后,为了提高身管内径磨损量的采样值精度,以及提高身管加工过程中相关参数检测精度,同时针对目前火炮身管内膛参数检测存在的精度不高、效率低、结构分散等问题,采用模块化设计方法,设计开发了一套集身管内径、弯曲度及内膛表面质量检测于一体的火炮身管内膛参数综合检测系统。本文对设计的综合检测系统进行了试验研究。主要对身管内径、弯曲度及内膛表面质量检测模块进行了现场试验及标定,并建立了相应的误差处理模型以提高检测精度。重点提出运用CCD摄像探头内窥技术,可实现快速、直接的内膛疵病图像的清晰采集,为身管内膛表面质量的等级评定及维护提供了明确的依据。对于目前的测试难点(特别是长身管内)——疵病深度检测,设计了激光位移传感器扫描技术的疵病深度检测方法,相比较于传统的人工拓印检测法、图像深度值法,该方法简单直接,可以进行快速、准确的检测。
The changes of bore parameters will affect the gun barrel's life, firing precision and launch safety directly.If bore parameters is detected automatically, reliably and efficiently, it can not only test the gun barrel's quality qualifiedly, but also offer great realistic significance to the life prediction and the safe use of gun barrel.This paper carries on the related theory and experimental study around the gun barrel life prediction model and comprehensive bore parameters detection system.
First, this paper analyzes the influence relation that the changes of bore parameters including inner diameter,bending and inner surface quality affect the operational performance and the gun barrel life based on the study of gun barrel life prediction technology.Because the radial wear is one of the important factors which affects the gun barrel's life, the paper establishes the gun barrel life grey prediction model about the wear volume and the number of projectile by using the grey system theory. Based on grey GM(1,1) model, a new grey combination forecast model and a optimization grey Verhulst model are established. They can effectively forecast the gun barrel's life and the maximum number of projectile at the end of life.The gun shooting range test data and related literature data show the correctness of the model through data validation.
Second, according to the decline of muzzle velocity of projectile and bore pressure caused by radial wear and the phenomenon of the projectiles scattered, elastic tape dubbing, premature explosion of projectile, fuze dud in a row and near-bombs and so on, the parer establishes a dynamic evaluation model of the gun barrel life level by the optimized grey clustering algorithm and Delphi Technique method. It can definitely assess the membership degree of state of the body tube life in"qualified","as in" and "scrap", and it can reject the guns which will become invalid out of the battle sequence in advance. So the state of war or training can be protected well and the use and the maintenance of artillery can be improved effectively.
Finally, in order to improve the inner wear sampling value, the related parameters detection precision of the processing quality and in view of the problems that the present gun bore parameters detection accuracy is not high, low efficiency, structure dispersion at the same time, the paper uses modular design method to design a set of comprehensive bore parameters detection system of gun barrel with three functions, measurement of internal diameter, inner surface and bending. In this paper, the design of the parameters bore comprehensive test system is experimentally studied. The study focus on field testing and calibrating the body tube inner diameter, curvature and bore surface quality, and the corresponding error model is established to improve the test accuracy.Using CCD camera probe endoscopic technology is put forward, which can realize the fast and direct collection of bore image clarity and provides a clear basis for the rating and maintenance of surface quality of the gun barrel life. For the current test difficult of fault depth measurement (especially the long gun barrel), it designs the laser displacement sensor fault depth measurement method of scanning technology. Compared with traditional artificial rubbing method and image depth value method, the method is more simple and more direct, and the method can carry out rapid and accurate measurement.
引文
[1]张喜发,卢兴华.火炮烧蚀内弹道学.北京：国防工业出版社.2001：190-209
[2]王靖君,赫信鹏.火炮概论.北京：兵器工业出版社,1992
[3]金志明.枪炮内弹道学.北京：北京理工大学出版社,2004
[4]Ian A. Understanding and Predicting Gun Barrel Erosion. Australia:Technical Report DSTO,2005
[5]Seiler F'Zimmermann K, Schedblauer F. Erosion in a 20ram Gun Produced by Normal and LOVA Propellant Charges. France:German-French Research Institute of Saint-Louis,1989
[6]Kimura J. Hydrogen Gas Erosion of High-Energy LOVA Propellants. U, S.:In 16th International Symposium on Ballistics,1996
[7]欧阳青,于存贵,张延成.国内外火炮身管烧蚀磨损问题研究进展.兵工自动化,2012,31(6)：44-46
[8]马宏等.火炮炮膛质量检测技术研究.兵工学报,1996,7(2)：97-10
[9]曾志银,张军岭,吴兴波.火炮身管强度设计理论.北京：国防工业出版社,2004
[10]谈乐斌.火炮概论.北京：：北京理工大学出版社,2005
[11]Rebeiz GM. RFMEMS理论设计技术.黄庆安,廖小平,译,南京：东南大学出版社,2005
[12]Pacheco S P, Kathie L P B, Nguyen C T C. Design of low actuation voltage RF MEMS switch. IEEE MIT2 S Digest,2000:165～168
[13]Nielson G N, Barbastathis G.. Dynamic pull-in of parallel plate and tensional electrostatic MEMS actuators. IEEE Micro Electro Mechanical Systems,2006,15(4): 811～821
[14]杨惠民.火炮制造工艺学.北京：兵器工业出版社,1984
[15]胡朝根.火炮身管内膛状态数据自动采集系统.国防科技报告,2004,(11)：7-10
[16]杜小平,曾朝阳,王林安.火炮身管静态参数测量系统设计.光电工程,2009(2)：158-161
[17]徐东升,贾长治,刘广生,徐浩.火炮身管寿命预测技术发展研究.价值工程,2013,32(5)：316-318
[18]Roland A. Investigation of Chemically Vapor Deposited Tantalum for Medium Caliber Gun Barrel Protection. U. S.:New Jersey Institute ofTechnology,2008.
[19]Smith D B. Composite Tube for Gun Barrel:US,6457274.2002-10
[20]高付其,邱文坚,梁士超,孙乐.火炮身管寿命预测问题的研究.南京理工大学学报,1997,21(3)：229-232
[21]陈国利,韩海波,于东鹏.BP神经网络的身管寿命预测方法.火力与指挥控制,2008,33(9)：146-148
[22]任双瑛,徐达.基于支持向量机的火炮身管烧蚀磨损预测模型研究.全国先进制造技术高层论坛暨第九届制造业自动化与信息化技术研讨会,2010.10,p214-216
[23]Samuel S, Peter 0'Hara, George P. Thermochemieal Erosion Modeling of The 25ram M242/M791 Gun System. U. S.:The 33th AIAA Joint Propulsion Confcrence.1997
[24]Paul J, Charles S。 James K。 et al. The Role of Nitrogen in Gun Tube Wear and Erosion. U. S.:US Army Research Laboratory,2006,ARL-TR-3795
[25]甘小明,徐滨士,董世运等.管道机器人的发展现状.机器人技术与应用,2003,(6)：5-10
[26]马宏,白素平,闫钰锋.管道机器人系统的研究.仪器仪表学报,2005,26(8)：286-287
[27]蒋渭忠,堵锋,包建东,等.基于火炮身管测量的管道机器人.弹道学报,2008,20(2)：88-90
[28]白索平,杨晓月,阎钰锋.管道机器人检测系统研究.长春理工大学学报,2005,28(4)：27-29
[29]张涛.管道内径在线检测机器人的研究.长春理工大学硕士论文,2003
[20]梁涛.机械自适应管道机器人驱动系统的设计与研究.哈尔滨工业大学硕士论文,2007
[31徐绍堂.炮膛检测机器人系统开发研究.哈尔滨理工大学硕士论文,2005
[32]陆麒.适应管径变化的管道机器人.机械设计,2007,24(1)：16-19
[33]崔秀梅,张青锋,许嘉祺.火炮身管自动爬行器设计.四川兵工学报,2012,33(3)：20-22
[34]包建东,王昌明.多功能火炮内膛自动检测机器人.机械设计,2008,25(12)：36-37
[35]J.vertut, P.marchal. Vehicles with Wheels and Legs:the in-pipe Remote Inspection Vehicle and his family.3th Symp on Theory and Practice of Robot and Manipulators. 1978:476～487
[36]Tokuji Okada, Tsuyoshi Sanemori. Vehicles in Pipe for Monitoring inside of Pipe. Mogrer 15th ISIR,1985:297～304
[37]T.Fukuda, H. Hosokai, Ohyama Hiroki. Giant Magnetiostrictive Alloy Applications to Micro Mobile Robot as a Micro Actuator With out Power Supply Cables..Proceedings of The 1991 IEEE Micro Elect ro Me chanical Systems.1991:210-215
[38]Tokuji Okada,Takeo Kanada. A Three-Wheeled Self-Adjusting Vehicle in a Pipe. The International Journal of Robotics Research.1987,6(4):60～75
[39]S.G.Roh, S.M.Ryew, J.H.Yang. Actively Steerable Inpipe Inspection Robots for Underground Urban Gas Pipelines. IEEE Int. Conf. on Robotics and Automation,2001
[40]Se-gon Roh, Hyouk Ryeol Choi. Differential-Drive In-pipe Robot for Moving Inside Unban Gas Pipelines. IEEE Transactions on Robotics,2005,21(1):1～17
[41]Macpherson Charles. Smart Pigging Project Benefits from Detailed Contingency Plan. Pipe Line&Gas Industry,1997,11:71～74
[42]Pitchford John. Specification and Requirement for the Intelligent Pig Inspection of Pipelines. Pipes& Pipelines International,1999,1:17～27
[43]Kobayashi Motoi, Minato Hiroshi, Kondo Munetaka, Murashita Kikuji,Kurashima Mineo. NKK Ultrasonic Pipeline Insection Pig. NKK Technical Review,1999,80:46～50
[44]Short Gordon C. The Pigging Technology Project. Pipes&Pipelines International, 1994,7:23～27
[45]Suzumorik, Miyagawat, Kimuram,et al. Micro inspection robot for in-pipes. IEEE/ASME Transactions on Mechatronics,1999,4(3):286～292
[46]Anthierens C, Ciftci A, Betemps A. Design of an electro pneumatic micro robot for in-pipe inspection. IEEE Int.Symp on Industrial Electronics, Bled, Slovenia,1999: 968-972
[47]Song Yiran, Yan Guozheng, Xu Xiaoyun. Research on oil/gas in-pipe nspection robot. Journal of Shanghai Jiao-tong University,2005,10(3):221～225
[48]Chio H R, Ryew S M. Robotic system with active steering capability for internal inspection of urban gas pipelines. Mechatronics,2002,12(5):716～736
[49]Flann Nicholas S, Moore Kevin L, Ma Lili. A small mobile robot for security and inspection operations. Control Engineering Practice,2 002,10(11):1265～1270
[50]Kawaguchi Y, Yoshida I, Kurmatani H,et al. Development of an in-pipe inspection robot for iron pipes. Journal of Robotics Society of Japan,1996,14(1): 137～143
[51]Kuntze H B, Haffner H. Experiences with the development of a robot for smart multisensoric pipe inspection. IEEE International Conference on Robotics and Automation,Leuven. Belgium:IEEE,1998.1773～1778
[52]Horodinca M, Doroftei I, Mignon E, et al. A simple architecture for in-pipe inspection robots. Int.Colloquium on Mobile and Autonomous Systems,10 Years of the Fraunhofer IFF, Magdeburd, Germany,2002:61-64
[53]Flann Nicholas S, Moore Kevin L, Ma Lili. A small mobile robot for security and inspection operations. Control Engineering Practice,2002,10(11):1265～1270
[54]Kawaguchi Y, Yoshida I, Kurmatani H, et al. Development of an in-pipe inspection robot for iron pipes. Journal of Robotics Society of Japan,1996,14(1): 137～143
[55]Tsubouchi T, Takaki S, Kawaguchi Y, et al.A straight pipe observation from the inside by laser spot array and a TV camera. Proceedings of the 2000 IEEE/RSJ, International Conference on Intelligent Robots and Systems. Tsukuba, Japan:IEEE/RSJ, 2000:82～87
[56]Kuntze H B, Haffner H. Experiences with the development of a robot for smart multisensoric pipe inspection. IEEE International Conference on Robotics and Automation. Leuven. Belgium:IEEE,1998:1773～1778
[57]Suzumorik, Miyagawat, Kimuram, et al. Micro inspection robot for in-pipes. IEEE/ASME Transactions on Mechatronics,1999,4(3):286～292
[58]Chio H R, Ryew S M. Robotic system with active steering capability for internal inspection of urban gas pipelines. Mechatronics,2002,12(5):716～736
[59]Anthierens C, Ciftci A, Betemps A. Design of an electro pneumatic micro robot for in-pipe inspection. IEEE Int. Symp. on Industrial Electronics, Bled, Slovenia,1999: 968-972
[60]Horodinca M, Doroftei I, Mignon E, et al. A simple architecture for in-pipe. inspection robots. Int. Colloquium on Mobile and Autonomous Systems,10 Years of the Fraunhofer IFF, M agdeburd, Germany,2002:61-64
[61]Vadell J E. Stepping Motor Driving by Controlled-energy Discharge. IEEE Trans on Industrial Electronics,1999,46(1):52-60
[62]Vadell J E. Stepping Motor Driving by Controlled-energy Discharge. IEEE Trans on Industrial Electronics,1999,46(1):52～60
[63]王耀华,左仁贵.国内外管道机器人的研究现状.机械设计,2010,27(5)：1-15
[64]徐翔.管道机器人研制与工程应用.东华大学硕士论文,2006
[65]唐守辉.管道机器人运动平台的动力学分析与控制.东北大学硕士论文,2008
[66]Song Yiran, Yan Guozheng, Xu Xiaoyun. Research on oil/gas in-pipe inspection robot. Journal of Shanghai Jiao-tong University (English Edition),2005,10(3):221～225
[67]王斌等.智能检测技术在靶场测控设备中的应用及前景.飞行器测控学报,2003,22(3)：84-86
[68]LiJian, LhongXing. Modeling system error in batch machining based on genetic algorithms. International Journal of Machine Tools and Manufaeture, Volume:43, Issue: 6,May,2003:599～604
[69]Hermann Watzig. Inner surface Properties of capillaries for electrophoresis.TrAe Trends in Analytieal Chemistry. Volume22,Issue:9,Octomber 2003:588～604
[70]Bhg Brosnan. Improving Quality Inspeetion of Food Produets by Computer Vision-A Review Journal of Food Engineering.Volume:61,Issue:1 January 2004:3-16
[71]WangGang. Automatic Identification of different types of welding Defeets in Radjographic. Images NDT&E International,Volume35,Issues:8,Deeember 2002:519～528
[72]V.Leemans,M.F.Destain. A Real-Time Grading Method of Apples Based on Features Extrated From Defects. Journal of Food Engineering, Volume61, Issue:l, January 2004:83～89
[73]祁春阳,郑立评,甘霖,李涛.火炮身管内径检测方法研究.装备环境工程,2011,5(5)：82-84
[74]崔占平,吕爱民.高精度长身管内径测试方法研究.华北工学院侧试技术学报,2000,4(6)：5-6
[75]李媛媛.火炮身管内膛参数检测技术与研究.南京理工大学硕士论文,2007
[76]赵辉,罗鑫.滑膛身管内径测量仪研究.军械工程学院学报,2010,22(5)：33-35
[77]崔秀梅,张青锋.火炮身管内径测量仪的结构设计.机械工程师,2008(1)：53-54
[78]马宏,白素平.火炮膛线尺寸光电技术研究.长春理工大学学报,2002,25(2)：35-36
[79]白庆本.基于CCD成像和计算机图像处理技术的火炮内膛自动检测.计算机测量与控制,2002,10(2)：124-126
[80]孙吉红,杨清文,战延谋,胡朝根.基于激光测量的身管磨损量检测系统研制.计算机测量与控制,2004(12)：1131-1133
[81]郑军,徐广春,肖定国.基于图像变换的火炮身管膛线参数检测技术研究.兵工学报,2004,25(2)：134-136
[82]赵栋,程远.基于CCD小口径炮膛质量检测系统.自动测量与控制,2008,27(9)：79-83
[83]阎文,姚建国,李荣祥.基于光杠杆的火炮身管内径测量系统.火炮发射与控制学报,2009(6)：90-91
[84]马永军,方廷健.火炮身管内膛直线度自动检测系统.仪表技术,2002,1：11-12
[85]程石,黄平.火炮身管直线度检测方法及测量元件选择.国防技术基础,2007(2)：53-55
[86]B.Journet, G. Bazin, F. Bras. Conception of an adaptative laser range finder based on phase shift measurement. Proceedings of IEEEIIE CON'96,Taipei,1996,2:784～789
[87]Kawasaki A, Goto M. On the position response of a position sensitive detector(PSD) irradiated with multiple light beams. Sensors and Actuators A: Physical,1989,22:534～537
[88]Howd C A. In-process straightness measurement of gun-tubes[Z]. WVA-QA-9101,Watervliet Arsenal, New York,1991
[89]Howd S A. A consistent method for determining gun-tube straightness on the M256 120mm gun. Proceedings of the 7th U.S. Army Symposium on Gun Dynamics May,1993
[90]Lawson G, Fowler S, Halsey H,et al. The in-bore chronograph laser radar for interior ballistics measurements. SPIE vol.1936 applied laser radar technology,1993: 374～385
[91]Garner J M, Marrs T. Off the shelf technology for gun barrel straightness measurement.10th U.S. Army Gun Dynamics symposium.2001:462～489
[92]唐九耀.枕型二维位敏探测器的结构和性能研究.光学学报,2001(6)：735-738
[93]马宏.炮管直线度激光检测设备研究.兵工学报,2003,24(2)：261-263[1][94]
[94]周韦琴,马宏.炮管直线度测量仪的研制.计算机测量与控制,2006,14(7)：929-930
[95]孙吉红,张文杰,杨清文.火炮身管弯曲度检测仪的研制.计算机测量与控制,2006,14(6)：814-816
[96]张培林,孔国杰,傅建平,胡朝根.一种利用PSD测量火炮身管直线度的方法.中北大学学报(自然科学版),2011,32(2)：143-148
[97]GJB 2977A-2006.火炮静态检测方法[S].
[98]郑军,徐春广,肖定国,等.火炮身管内表面综合测量系统研究.北京理工大学学报,2003,23(6)：694-698
[99]任现君,苏建刚,刘上乾.光电式火炮身管窥膛检测系统.飞行器测控学报,2000,19(3)：72-77
[100]王炳健,周慧鑫,刘上乾.光电窥膛自控系统.应用光学,2002,23(3)：5-8
[101]刘金根,刘上乾.光电窥膛系统光学系统参数优化选择.光电工程,2002,29(3)：47-49
[102]陈靖,刘上乾,周成亮,等.光电窥膛驱动控制技术.电子科技,2006(6)：49-51
[103]白庆本,韩兆福.基于CCD成像和计算机图像处理技术的火炮内膛自动检 测.计算机测量与控制,2002,10(2)：124-126
[104]史少华,李继祥,赵富全.线膛炮内膛图像膛线识别研究.装甲兵工程学院学报,2003,17(2)：71-75
[105]吕昌颖,张振山.小口径火炮窥膛仪的研制.计算机测量与控制,2005(13)：743-745.
[106]郑戈毅,王国辉,高嘉英,等.炮管内膛图像拼接检测算法研究.装甲兵工程学院学报,2007,21(4)：28-31
[107]王国辉,郑戈毅,秦煜民.身管内膛图像拼接系统的设计与实现.火炮发射与控制学报,2008(6)：42-45
[108]郑军,马建峰,王信义.二值图像的目标识别技术.机械,2002,29(2)：52-54
[109]郑军,徐春广,肖定国,等.数字图像中照度不均匀校正技术研究.北京理工大学学报,2003,23(3)：285-289
[110]]郑军,徐春广,肖定国,等.火炮身管内表面综合测量系统研究.北京理工大学学报,2003,23(6)：694-698
[110]郑军.基于图像变换的火炮身管膛线参数检测技术研究.兵工学报,2001,25(2)：146-150
[111]ZHENG Jun,XU Chun-guang,XIAO Ding-guo,et al. New image operator and its application in the inner sulface de-tection of anillery pipe. Joumal of Beijing Institute of Technology,2003,12(3):307～311
[112]郑军,徐春广,肖定国,等.炮管内表面磨损图像的检测技术研究.中国图像图形学报,2004,9(3)：323-327
[113]宁静,付攀,高品贤.火炮身管内膛表面数字检测仪器研制.中国测试技术,2004(2)：44-47
[114]楚国富.火炮身管内壁的表面检测.成都：西南交通大学,2005
[112]陈国俊,刘泊,范剑英.火炮内膛缺陷检测的研究.哈尔滨理工大学学报,2004,9(5)：49-52
[115]陈国俊.火炮内膛缺陷检测的研究.哈尔滨理工大学硕士论文,2005
[116]叶挺锋.火炮身管检测技术与系统设计.浙江大学硕士论文,2005
[117]史金霞,赵继广.火炮内膛疵病检测系统的设计.兵工自动化,2005,24(4)：31-32
[118]李建锋,史金霞,安宜贵.炮膛疵病检测系统设计.自动化技术与应用,2007,26(6)：77-78
[119]陈希友.小口径火炮身管内膛表面质量检测研究.南京理工大学硕士论文,2007
[120]工业内窥摄像探头.北京同三维公司技术资料.2011
[121]王昌明,孔德仁,何云峰.传感器与测试技术.北京：北京航天航空大学出版社,2005
[122]王昌明等.测控执行器及其应用.北京：国防工业出版社,2008.
[123]施文康,余晓芬.检测技术.北京：机械工业出版社,2005
[124]周继明,将世明.传感技术与应用.长沙：中南大学出版社,2005
[125]张洪润,张亚凡.新编传感器技术手册.北京：清华大学出版社,2005
[126]田桂军.内膛烧蚀磨损及其对内弹道性能影响的研究.南京理工大学博士论文,2003
[127]范金城,梅长林.数据分析.北京：科学出版社,2002
[128]樊成军.身管弯曲对火炮射击精度影响分析.南京理工大学硕士论文,2002
[129]赵金辉.大口径自行火炮身管弯曲及其对射击精度的影响分析.石家庄：军械工程学院,2009：15-16
[130]杨玉良,秦俊奇,狄长春,生龙波,姚家骏.考虑自重挠度的火炮试验装置身管稳定性校核研究.军械工程学报,2012,24(2)：26-28
[131]刘林,狄长春,乔梁.等.火炮模拟射击参数的试验设计及优化研究.火炮与控制学报,2010(3)：99-102
[132]田莳.材料物理性能.北京：北京航空航天大学出版社,2004
[133]Wurzel Edward. Cannon Wear Single Shot Testing Method. AD-A046606,P. Ⅱ 431～353
[134]Gallier S, Bae J P, and Della Pieta P. Numerical Modeling of Chemical Erosion in Gun Tubes.20th International Symposium on Ballistics Orlando, FL,23-27 September, 2002:298～305
[135]李明涛,崔万善,姚哲,等.基于内表面熔化层理论的身管寿命预测方法.火炮发射与控制学报,2009(I)：5-8.
[136]Montgomery R S. Laser treatment of chromium plated-steel. ADA363854, 1980206.
[137]HorstR, GertS, Hartmut W. Method formanufacturinga gun barrelwith an inner chromium liner.德国专利：EP1003008,2000-2-05.
[138]郭瑞萍,王宝生.美国炮管抗烧蚀涂层工艺技术新进展.新技术新工艺,2008(9)：68-70
[139]陈永才,宋遒志,王建中.国内外火炮身管延寿技术研究进展.兵工学报,2006,27(2)：331-333
[140]Caveny LH. Steel Erosion Produced byDouble Base,Triple Base and RDX Composite Propellants ofVariousflame temperatures US Army Armament Research and DevelopmentCommand, December 1980.
[141]ManzH, Haluk T, Manfred Z. Apparatus for hardeningthe in2side contour of gun barrel with laser radiation.美国专利：6040551,2000-2-03.
[142]王宝生.美国橡树岭国家实验室先进炮管涂层技术.兵器快报,2003,(38)：10-12.
[143]VictorA, Andrew S. Method formaking a high temper-ature, high pressure, erosion and corrosion resistantcomposite structure.美国专利：5935351,1999-2-08.
[144]Vigilante G, Cote P, Sage T. Characterization of tantalumliners applied to 25 mm and 120 mm Cannon bore sectionvia explosive bonding. AD A387587,2001202.
[145]邓勃.分析测试数据的统计处理方法.北京：清华大学出版社,1995
[146]邓聚龙.灰理论基础.武汉：华中科技大学出版社,2002
[147]刘思峰,谢乃明.灰色系统理论及其应用.北京：科学出版社,2008
[148]Liu Si-feng, Hu Ming-li, Forrest Jeffrey,etc. PROGRESS OF GREY SYSTEM MODELS. Transactions of Nanjing University of Aeronautics and Astronautics,2012, 29(2):103～110
[149]徐祯祥,刘荣等.面向复杂曲面的爬壁机器人机构及运动学分析.北京航空航天大学学报,2005,31(7)：718-721
[150]解旭辉,王宏刚等.微小管道机器人机构设计及动力学分析.国防科技大学学报,2007,29(6)：98-101
[151]唐德威,梁涛等.机械自适应管道机器人的机构原理与仿真分析.机器人,2008,30(1)：29-33
[152]唐德威,梁涛等.机械自适应管道机器人的机构原理与仿真分析.机器人,2008,30(1)：29-33
[153]唐德威,李庆凯等.三轴差动式管道机器人机械自适应驱动技术.机械工程学报,2008,44(9)：128-133
[154]马孜,张旭等.大孔径管道4自由度内部检测机器人系统.机械工程学报,2009,45(6)：267-273
[155]成大先.机械设计手册.北京：化学工业出版社,2002
[156]安琦,顾大强.机械设计.北京：科学教育出版社,2008
[157]刘万里,欧阳健飞等.激光制导测试机器人系统设计及运动学分析.机械工程学报,2008,34(9)：17-122
[158]孙丽霞,江旭东.机械自适应型管道机器人驱动单元的设计.机械设计,2009,26(10)：37-39
[159]李鹏,马书根.具有自适应能力管道机器人的设计与运动分析.机械工程学报, 2009,29(1)：154-161
[160]李继祥.火炮身管内孔测量仪自动定心装置.装甲兵指挥学院学报,1997,11(2)：82-83
[161]廖常初.可变程序控制器的编程方法与工程应用.重庆：重庆大学出版社,2001
[162]张植保.电机原理及其运行与维护.北京：化学工业出版社,2005
[163]史敬灼.步进电动机伺服控制技术.北京：科学出版社,2006
[164]邓焱,王磊.LabVIEW7.1测试技术与仪器应用.北京：械工业出版社,2004
[165]张德丰.数字图像处理(MATLAB版).北京：人民邮电出版社,2009
[166]牛建军.特殊环境下的光电图像获取与处理技术.西安电子科技大学博士论文,2007.
[167]赵晶莹.图像处理中的算法分析.长春：长春理工大学,2002
[168]刘金根.一种基于现场定标的光电图像畸变校正算法.光子学报,2004,33(6)：732-735
[169]刘金根,吴志鹏,刘上乾,等.一种基于特征区域分割的图像拼接算法.西安电子科技大学学报(自然科学版),2002,29(6)：768-771
[170]总装备部.GJB 2977A-2006火炮静态检测方法.北京：中国标准出版社,2006
[171]曾朝阳,赵继广.火炮身管疵病深度测量系统.光学精密工程,2010,18(10)：2221-2229
[2]王靖君,赫信鹏.火炮概论.北京：兵器工业出版社,1992
[3]金志明.枪炮内弹道学.北京：北京理工大学出版社,2004
[4]Ian A. Understanding and Predicting Gun Barrel Erosion. Australia:Technical Report DSTO,2005
[5]Seiler F'Zimmermann K, Schedblauer F. Erosion in a 20ram Gun Produced by Normal and LOVA Propellant Charges. France:German-French Research Institute of Saint-Louis,1989
[6]Kimura J. Hydrogen Gas Erosion of High-Energy LOVA Propellants. U, S.:In 16th International Symposium on Ballistics,1996
[7]欧阳青,于存贵,张延成.国内外火炮身管烧蚀磨损问题研究进展.兵工自动化,2012,31(6)：44-46
[8]马宏等.火炮炮膛质量检测技术研究.兵工学报,1996,7(2)：97-10
[9]曾志银,张军岭,吴兴波.火炮身管强度设计理论.北京：国防工业出版社,2004
[10]谈乐斌.火炮概论.北京：：北京理工大学出版社,2005
[11]Rebeiz GM. RFMEMS理论设计技术.黄庆安,廖小平,译,南京：东南大学出版社,2005
[12]Pacheco S P, Kathie L P B, Nguyen C T C. Design of low actuation voltage RF MEMS switch. IEEE MIT2 S Digest,2000:165～168
[13]Nielson G N, Barbastathis G.. Dynamic pull-in of parallel plate and tensional electrostatic MEMS actuators. IEEE Micro Electro Mechanical Systems,2006,15(4): 811～821
[14]杨惠民.火炮制造工艺学.北京：兵器工业出版社,1984
[15]胡朝根.火炮身管内膛状态数据自动采集系统.国防科技报告,2004,(11)：7-10
[16]杜小平,曾朝阳,王林安.火炮身管静态参数测量系统设计.光电工程,2009(2)：158-161
[17]徐东升,贾长治,刘广生,徐浩.火炮身管寿命预测技术发展研究.价值工程,2013,32(5)：316-318
[18]Roland A. Investigation of Chemically Vapor Deposited Tantalum for Medium Caliber Gun Barrel Protection. U. S.:New Jersey Institute ofTechnology,2008.
[19]Smith D B. Composite Tube for Gun Barrel:US,6457274.2002-10
[20]高付其,邱文坚,梁士超,孙乐.火炮身管寿命预测问题的研究.南京理工大学学报,1997,21(3)：229-232
[21]陈国利,韩海波,于东鹏.BP神经网络的身管寿命预测方法.火力与指挥控制,2008,33(9)：146-148
[22]任双瑛,徐达.基于支持向量机的火炮身管烧蚀磨损预测模型研究.全国先进制造技术高层论坛暨第九届制造业自动化与信息化技术研讨会,2010.10,p214-216
[23]Samuel S, Peter 0'Hara, George P. Thermochemieal Erosion Modeling of The 25ram M242/M791 Gun System. U. S.:The 33th AIAA Joint Propulsion Confcrence.1997
[24]Paul J, Charles S。 James K。 et al. The Role of Nitrogen in Gun Tube Wear and Erosion. U. S.:US Army Research Laboratory,2006,ARL-TR-3795
[25]甘小明,徐滨士,董世运等.管道机器人的发展现状.机器人技术与应用,2003,(6)：5-10
[26]马宏,白素平,闫钰锋.管道机器人系统的研究.仪器仪表学报,2005,26(8)：286-287
[27]蒋渭忠,堵锋,包建东,等.基于火炮身管测量的管道机器人.弹道学报,2008,20(2)：88-90
[28]白索平,杨晓月,阎钰锋.管道机器人检测系统研究.长春理工大学学报,2005,28(4)：27-29
[29]张涛.管道内径在线检测机器人的研究.长春理工大学硕士论文,2003
[20]梁涛.机械自适应管道机器人驱动系统的设计与研究.哈尔滨工业大学硕士论文,2007
[31徐绍堂.炮膛检测机器人系统开发研究.哈尔滨理工大学硕士论文,2005
[32]陆麒.适应管径变化的管道机器人.机械设计,2007,24(1)：16-19
[33]崔秀梅,张青锋,许嘉祺.火炮身管自动爬行器设计.四川兵工学报,2012,33(3)：20-22
[34]包建东,王昌明.多功能火炮内膛自动检测机器人.机械设计,2008,25(12)：36-37
[35]J.vertut, P.marchal. Vehicles with Wheels and Legs:the in-pipe Remote Inspection Vehicle and his family.3th Symp on Theory and Practice of Robot and Manipulators. 1978:476～487
[36]Tokuji Okada, Tsuyoshi Sanemori. Vehicles in Pipe for Monitoring inside of Pipe. Mogrer 15th ISIR,1985:297～304
[37]T.Fukuda, H. Hosokai, Ohyama Hiroki. Giant Magnetiostrictive Alloy Applications to Micro Mobile Robot as a Micro Actuator With out Power Supply Cables..Proceedings of The 1991 IEEE Micro Elect ro Me chanical Systems.1991:210-215
[38]Tokuji Okada,Takeo Kanada. A Three-Wheeled Self-Adjusting Vehicle in a Pipe. The International Journal of Robotics Research.1987,6(4):60～75
[39]S.G.Roh, S.M.Ryew, J.H.Yang. Actively Steerable Inpipe Inspection Robots for Underground Urban Gas Pipelines. IEEE Int. Conf. on Robotics and Automation,2001
[40]Se-gon Roh, Hyouk Ryeol Choi. Differential-Drive In-pipe Robot for Moving Inside Unban Gas Pipelines. IEEE Transactions on Robotics,2005,21(1):1～17
[41]Macpherson Charles. Smart Pigging Project Benefits from Detailed Contingency Plan. Pipe Line&Gas Industry,1997,11:71～74
[42]Pitchford John. Specification and Requirement for the Intelligent Pig Inspection of Pipelines. Pipes& Pipelines International,1999,1:17～27
[43]Kobayashi Motoi, Minato Hiroshi, Kondo Munetaka, Murashita Kikuji,Kurashima Mineo. NKK Ultrasonic Pipeline Insection Pig. NKK Technical Review,1999,80:46～50
[44]Short Gordon C. The Pigging Technology Project. Pipes&Pipelines International, 1994,7:23～27
[45]Suzumorik, Miyagawat, Kimuram,et al. Micro inspection robot for in-pipes. IEEE/ASME Transactions on Mechatronics,1999,4(3):286～292
[46]Anthierens C, Ciftci A, Betemps A. Design of an electro pneumatic micro robot for in-pipe inspection. IEEE Int.Symp on Industrial Electronics, Bled, Slovenia,1999: 968-972
[47]Song Yiran, Yan Guozheng, Xu Xiaoyun. Research on oil/gas in-pipe nspection robot. Journal of Shanghai Jiao-tong University,2005,10(3):221～225
[48]Chio H R, Ryew S M. Robotic system with active steering capability for internal inspection of urban gas pipelines. Mechatronics,2002,12(5):716～736
[49]Flann Nicholas S, Moore Kevin L, Ma Lili. A small mobile robot for security and inspection operations. Control Engineering Practice,2 002,10(11):1265～1270
[50]Kawaguchi Y, Yoshida I, Kurmatani H,et al. Development of an in-pipe inspection robot for iron pipes. Journal of Robotics Society of Japan,1996,14(1): 137～143
[51]Kuntze H B, Haffner H. Experiences with the development of a robot for smart multisensoric pipe inspection. IEEE International Conference on Robotics and Automation,Leuven. Belgium:IEEE,1998.1773～1778
[52]Horodinca M, Doroftei I, Mignon E, et al. A simple architecture for in-pipe inspection robots. Int.Colloquium on Mobile and Autonomous Systems,10 Years of the Fraunhofer IFF, Magdeburd, Germany,2002:61-64
[53]Flann Nicholas S, Moore Kevin L, Ma Lili. A small mobile robot for security and inspection operations. Control Engineering Practice,2002,10(11):1265～1270
[54]Kawaguchi Y, Yoshida I, Kurmatani H, et al. Development of an in-pipe inspection robot for iron pipes. Journal of Robotics Society of Japan,1996,14(1): 137～143
[55]Tsubouchi T, Takaki S, Kawaguchi Y, et al.A straight pipe observation from the inside by laser spot array and a TV camera. Proceedings of the 2000 IEEE/RSJ, International Conference on Intelligent Robots and Systems. Tsukuba, Japan:IEEE/RSJ, 2000:82～87
[56]Kuntze H B, Haffner H. Experiences with the development of a robot for smart multisensoric pipe inspection. IEEE International Conference on Robotics and Automation. Leuven. Belgium:IEEE,1998:1773～1778
[57]Suzumorik, Miyagawat, Kimuram, et al. Micro inspection robot for in-pipes. IEEE/ASME Transactions on Mechatronics,1999,4(3):286～292
[58]Chio H R, Ryew S M. Robotic system with active steering capability for internal inspection of urban gas pipelines. Mechatronics,2002,12(5):716～736
[59]Anthierens C, Ciftci A, Betemps A. Design of an electro pneumatic micro robot for in-pipe inspection. IEEE Int. Symp. on Industrial Electronics, Bled, Slovenia,1999: 968-972
[60]Horodinca M, Doroftei I, Mignon E, et al. A simple architecture for in-pipe. inspection robots. Int. Colloquium on Mobile and Autonomous Systems,10 Years of the Fraunhofer IFF, M agdeburd, Germany,2002:61-64
[61]Vadell J E. Stepping Motor Driving by Controlled-energy Discharge. IEEE Trans on Industrial Electronics,1999,46(1):52-60
[62]Vadell J E. Stepping Motor Driving by Controlled-energy Discharge. IEEE Trans on Industrial Electronics,1999,46(1):52～60
[63]王耀华,左仁贵.国内外管道机器人的研究现状.机械设计,2010,27(5)：1-15
[64]徐翔.管道机器人研制与工程应用.东华大学硕士论文,2006
[65]唐守辉.管道机器人运动平台的动力学分析与控制.东北大学硕士论文,2008
[66]Song Yiran, Yan Guozheng, Xu Xiaoyun. Research on oil/gas in-pipe inspection robot. Journal of Shanghai Jiao-tong University (English Edition),2005,10(3):221～225
[67]王斌等.智能检测技术在靶场测控设备中的应用及前景.飞行器测控学报,2003,22(3)：84-86
[68]LiJian, LhongXing. Modeling system error in batch machining based on genetic algorithms. International Journal of Machine Tools and Manufaeture, Volume:43, Issue: 6,May,2003:599～604
[69]Hermann Watzig. Inner surface Properties of capillaries for electrophoresis.TrAe Trends in Analytieal Chemistry. Volume22,Issue:9,Octomber 2003:588～604
[70]Bhg Brosnan. Improving Quality Inspeetion of Food Produets by Computer Vision-A Review Journal of Food Engineering.Volume:61,Issue:1 January 2004:3-16
[71]WangGang. Automatic Identification of different types of welding Defeets in Radjographic. Images NDT&E International,Volume35,Issues:8,Deeember 2002:519～528
[72]V.Leemans,M.F.Destain. A Real-Time Grading Method of Apples Based on Features Extrated From Defects. Journal of Food Engineering, Volume61, Issue:l, January 2004:83～89
[73]祁春阳,郑立评,甘霖,李涛.火炮身管内径检测方法研究.装备环境工程,2011,5(5)：82-84
[74]崔占平,吕爱民.高精度长身管内径测试方法研究.华北工学院侧试技术学报,2000,4(6)：5-6
[75]李媛媛.火炮身管内膛参数检测技术与研究.南京理工大学硕士论文,2007
[76]赵辉,罗鑫.滑膛身管内径测量仪研究.军械工程学院学报,2010,22(5)：33-35
[77]崔秀梅,张青锋.火炮身管内径测量仪的结构设计.机械工程师,2008(1)：53-54
[78]马宏,白素平.火炮膛线尺寸光电技术研究.长春理工大学学报,2002,25(2)：35-36
[79]白庆本.基于CCD成像和计算机图像处理技术的火炮内膛自动检测.计算机测量与控制,2002,10(2)：124-126
[80]孙吉红,杨清文,战延谋,胡朝根.基于激光测量的身管磨损量检测系统研制.计算机测量与控制,2004(12)：1131-1133
[81]郑军,徐广春,肖定国.基于图像变换的火炮身管膛线参数检测技术研究.兵工学报,2004,25(2)：134-136
[82]赵栋,程远.基于CCD小口径炮膛质量检测系统.自动测量与控制,2008,27(9)：79-83
[83]阎文,姚建国,李荣祥.基于光杠杆的火炮身管内径测量系统.火炮发射与控制学报,2009(6)：90-91
[84]马永军,方廷健.火炮身管内膛直线度自动检测系统.仪表技术,2002,1：11-12
[85]程石,黄平.火炮身管直线度检测方法及测量元件选择.国防技术基础,2007(2)：53-55
[86]B.Journet, G. Bazin, F. Bras. Conception of an adaptative laser range finder based on phase shift measurement. Proceedings of IEEEIIE CON'96,Taipei,1996,2:784～789
[87]Kawasaki A, Goto M. On the position response of a position sensitive detector(PSD) irradiated with multiple light beams. Sensors and Actuators A: Physical,1989,22:534～537
[88]Howd C A. In-process straightness measurement of gun-tubes[Z]. WVA-QA-9101,Watervliet Arsenal, New York,1991
[89]Howd S A. A consistent method for determining gun-tube straightness on the M256 120mm gun. Proceedings of the 7th U.S. Army Symposium on Gun Dynamics May,1993
[90]Lawson G, Fowler S, Halsey H,et al. The in-bore chronograph laser radar for interior ballistics measurements. SPIE vol.1936 applied laser radar technology,1993: 374～385
[91]Garner J M, Marrs T. Off the shelf technology for gun barrel straightness measurement.10th U.S. Army Gun Dynamics symposium.2001:462～489
[92]唐九耀.枕型二维位敏探测器的结构和性能研究.光学学报,2001(6)：735-738
[93]马宏.炮管直线度激光检测设备研究.兵工学报,2003,24(2)：261-263[1][94]
[94]周韦琴,马宏.炮管直线度测量仪的研制.计算机测量与控制,2006,14(7)：929-930
[95]孙吉红,张文杰,杨清文.火炮身管弯曲度检测仪的研制.计算机测量与控制,2006,14(6)：814-816
[96]张培林,孔国杰,傅建平,胡朝根.一种利用PSD测量火炮身管直线度的方法.中北大学学报(自然科学版),2011,32(2)：143-148
[97]GJB 2977A-2006.火炮静态检测方法[S].
[98]郑军,徐春广,肖定国,等.火炮身管内表面综合测量系统研究.北京理工大学学报,2003,23(6)：694-698
[99]任现君,苏建刚,刘上乾.光电式火炮身管窥膛检测系统.飞行器测控学报,2000,19(3)：72-77
[100]王炳健,周慧鑫,刘上乾.光电窥膛自控系统.应用光学,2002,23(3)：5-8
[101]刘金根,刘上乾.光电窥膛系统光学系统参数优化选择.光电工程,2002,29(3)：47-49
[102]陈靖,刘上乾,周成亮,等.光电窥膛驱动控制技术.电子科技,2006(6)：49-51
[103]白庆本,韩兆福.基于CCD成像和计算机图像处理技术的火炮内膛自动检 测.计算机测量与控制,2002,10(2)：124-126
[104]史少华,李继祥,赵富全.线膛炮内膛图像膛线识别研究.装甲兵工程学院学报,2003,17(2)：71-75
[105]吕昌颖,张振山.小口径火炮窥膛仪的研制.计算机测量与控制,2005(13)：743-745.
[106]郑戈毅,王国辉,高嘉英,等.炮管内膛图像拼接检测算法研究.装甲兵工程学院学报,2007,21(4)：28-31
[107]王国辉,郑戈毅,秦煜民.身管内膛图像拼接系统的设计与实现.火炮发射与控制学报,2008(6)：42-45
[108]郑军,马建峰,王信义.二值图像的目标识别技术.机械,2002,29(2)：52-54
[109]郑军,徐春广,肖定国,等.数字图像中照度不均匀校正技术研究.北京理工大学学报,2003,23(3)：285-289
[110]]郑军,徐春广,肖定国,等.火炮身管内表面综合测量系统研究.北京理工大学学报,2003,23(6)：694-698
[110]郑军.基于图像变换的火炮身管膛线参数检测技术研究.兵工学报,2001,25(2)：146-150
[111]ZHENG Jun,XU Chun-guang,XIAO Ding-guo,et al. New image operator and its application in the inner sulface de-tection of anillery pipe. Joumal of Beijing Institute of Technology,2003,12(3):307～311
[112]郑军,徐春广,肖定国,等.炮管内表面磨损图像的检测技术研究.中国图像图形学报,2004,9(3)：323-327
[113]宁静,付攀,高品贤.火炮身管内膛表面数字检测仪器研制.中国测试技术,2004(2)：44-47
[114]楚国富.火炮身管内壁的表面检测.成都：西南交通大学,2005
[112]陈国俊,刘泊,范剑英.火炮内膛缺陷检测的研究.哈尔滨理工大学学报,2004,9(5)：49-52
[115]陈国俊.火炮内膛缺陷检测的研究.哈尔滨理工大学硕士论文,2005
[116]叶挺锋.火炮身管检测技术与系统设计.浙江大学硕士论文,2005
[117]史金霞,赵继广.火炮内膛疵病检测系统的设计.兵工自动化,2005,24(4)：31-32
[118]李建锋,史金霞,安宜贵.炮膛疵病检测系统设计.自动化技术与应用,2007,26(6)：77-78
[119]陈希友.小口径火炮身管内膛表面质量检测研究.南京理工大学硕士论文,2007
[120]工业内窥摄像探头.北京同三维公司技术资料.2011
[121]王昌明,孔德仁,何云峰.传感器与测试技术.北京：北京航天航空大学出版社,2005
[122]王昌明等.测控执行器及其应用.北京：国防工业出版社,2008.
[123]施文康,余晓芬.检测技术.北京：机械工业出版社,2005
[124]周继明,将世明.传感技术与应用.长沙：中南大学出版社,2005
[125]张洪润,张亚凡.新编传感器技术手册.北京：清华大学出版社,2005
[126]田桂军.内膛烧蚀磨损及其对内弹道性能影响的研究.南京理工大学博士论文,2003
[127]范金城,梅长林.数据分析.北京：科学出版社,2002
[128]樊成军.身管弯曲对火炮射击精度影响分析.南京理工大学硕士论文,2002
[129]赵金辉.大口径自行火炮身管弯曲及其对射击精度的影响分析.石家庄：军械工程学院,2009：15-16
[130]杨玉良,秦俊奇,狄长春,生龙波,姚家骏.考虑自重挠度的火炮试验装置身管稳定性校核研究.军械工程学报,2012,24(2)：26-28
[131]刘林,狄长春,乔梁.等.火炮模拟射击参数的试验设计及优化研究.火炮与控制学报,2010(3)：99-102
[132]田莳.材料物理性能.北京：北京航空航天大学出版社,2004
[133]Wurzel Edward. Cannon Wear Single Shot Testing Method. AD-A046606,P. Ⅱ 431～353
[134]Gallier S, Bae J P, and Della Pieta P. Numerical Modeling of Chemical Erosion in Gun Tubes.20th International Symposium on Ballistics Orlando, FL,23-27 September, 2002:298～305
[135]李明涛,崔万善,姚哲,等.基于内表面熔化层理论的身管寿命预测方法.火炮发射与控制学报,2009(I)：5-8.
[136]Montgomery R S. Laser treatment of chromium plated-steel. ADA363854, 1980206.
[137]HorstR, GertS, Hartmut W. Method formanufacturinga gun barrelwith an inner chromium liner.德国专利：EP1003008,2000-2-05.
[138]郭瑞萍,王宝生.美国炮管抗烧蚀涂层工艺技术新进展.新技术新工艺,2008(9)：68-70
[139]陈永才,宋遒志,王建中.国内外火炮身管延寿技术研究进展.兵工学报,2006,27(2)：331-333
[140]Caveny LH. Steel Erosion Produced byDouble Base,Triple Base and RDX Composite Propellants ofVariousflame temperatures US Army Armament Research and DevelopmentCommand, December 1980.
[141]ManzH, Haluk T, Manfred Z. Apparatus for hardeningthe in2side contour of gun barrel with laser radiation.美国专利：6040551,2000-2-03.
[142]王宝生.美国橡树岭国家实验室先进炮管涂层技术.兵器快报,2003,(38)：10-12.
[143]VictorA, Andrew S. Method formaking a high temper-ature, high pressure, erosion and corrosion resistantcomposite structure.美国专利：5935351,1999-2-08.
[144]Vigilante G, Cote P, Sage T. Characterization of tantalumliners applied to 25 mm and 120 mm Cannon bore sectionvia explosive bonding. AD A387587,2001202.
[145]邓勃.分析测试数据的统计处理方法.北京：清华大学出版社,1995
[146]邓聚龙.灰理论基础.武汉：华中科技大学出版社,2002
[147]刘思峰,谢乃明.灰色系统理论及其应用.北京：科学出版社,2008
[148]Liu Si-feng, Hu Ming-li, Forrest Jeffrey,etc. PROGRESS OF GREY SYSTEM MODELS. Transactions of Nanjing University of Aeronautics and Astronautics,2012, 29(2):103～110
[149]徐祯祥,刘荣等.面向复杂曲面的爬壁机器人机构及运动学分析.北京航空航天大学学报,2005,31(7)：718-721
[150]解旭辉,王宏刚等.微小管道机器人机构设计及动力学分析.国防科技大学学报,2007,29(6)：98-101
[151]唐德威,梁涛等.机械自适应管道机器人的机构原理与仿真分析.机器人,2008,30(1)：29-33
[152]唐德威,梁涛等.机械自适应管道机器人的机构原理与仿真分析.机器人,2008,30(1)：29-33
[153]唐德威,李庆凯等.三轴差动式管道机器人机械自适应驱动技术.机械工程学报,2008,44(9)：128-133
[154]马孜,张旭等.大孔径管道4自由度内部检测机器人系统.机械工程学报,2009,45(6)：267-273
[155]成大先.机械设计手册.北京：化学工业出版社,2002
[156]安琦,顾大强.机械设计.北京：科学教育出版社,2008
[157]刘万里,欧阳健飞等.激光制导测试机器人系统设计及运动学分析.机械工程学报,2008,34(9)：17-122
[158]孙丽霞,江旭东.机械自适应型管道机器人驱动单元的设计.机械设计,2009,26(10)：37-39
[159]李鹏,马书根.具有自适应能力管道机器人的设计与运动分析.机械工程学报, 2009,29(1)：154-161
[160]李继祥.火炮身管内孔测量仪自动定心装置.装甲兵指挥学院学报,1997,11(2)：82-83
[161]廖常初.可变程序控制器的编程方法与工程应用.重庆：重庆大学出版社,2001
[162]张植保.电机原理及其运行与维护.北京：化学工业出版社,2005
[163]史敬灼.步进电动机伺服控制技术.北京：科学出版社,2006
[164]邓焱,王磊.LabVIEW7.1测试技术与仪器应用.北京：械工业出版社,2004
[165]张德丰.数字图像处理(MATLAB版).北京：人民邮电出版社,2009
[166]牛建军.特殊环境下的光电图像获取与处理技术.西安电子科技大学博士论文,2007.
[167]赵晶莹.图像处理中的算法分析.长春：长春理工大学,2002
[168]刘金根.一种基于现场定标的光电图像畸变校正算法.光子学报,2004,33(6)：732-735
[169]刘金根,吴志鹏,刘上乾,等.一种基于特征区域分割的图像拼接算法.西安电子科技大学学报(自然科学版),2002,29(6)：768-771
[170]总装备部.GJB 2977A-2006火炮静态检测方法.北京：中国标准出版社,2006
[171]曾朝阳,赵继广.火炮身管疵病深度测量系统.光学精密工程,2010,18(10)：2221-2229