一种变速箱综合性能测试系统的研究与实现
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摘要
变速箱作为汽车的主要组成部件,一旦发生故障轻则影响汽车的动力性能,重则可能无法行驶,甚至有可能发生交通意外,危害生命安全。如果要变速箱有良好的工作状态,既要注意日常维护,更要保证其在装车时就是一个质量合格的产品。因此变速箱总装完成之后的测试至关重要,但如何设计出能够稳定可靠检测变速箱产品的试验台,却是广大科研机构和企业一直探索的问题。
     本课题在安徽省某著名汽车集团委托的手动变速箱综合性能试验台项目的支持下,结合安徽省高等学校优秀青年基金项目“汽车变速器通用节能型智能检测系统的研究”(2008JQL085),依据相关标准,设计了一个能够测试多种型号手动变速箱的试验台。课题综合应用控制科学、信号处理、传感技术以及人工智能等多学科理论,对可变负荷加载、换挡控制、滤波降噪以及产品分类及诊断等关键问题进行了研究。
     本文的主要研究内容及取得的成果如下:
     1.研究了手动变速箱的结构和工作原理,分析了自动变速箱的类型和优缺点,在此基础上,总结了目前变速箱试验的测试项目及测试方式,探讨了国内外的研究现状,为后续内容的研究打下基础。
     2.在试验台的工作环境下,测量信号容易受到多种噪声干扰。通过研究非平稳随机信号及时频分析方法,在小波分析的基础上,提出用双正交小波来进行变速箱试验台信号的滤波降噪及特征提取,实践证明效果良好。
     3.设计了一种既能够进行变速箱换挡性能测试,又能够进行加载性能测试的综合试验台,且加载能力是可以根据需要随时进行调整的,这样就可以模拟汽车行驶时的多种工况。试验台还能够进行传动效率测试、疲劳测试、噪声测试、油温测试等多种项目,并可以根据需要在手动测试中扩展其他测试项目。此外,试验台通过更换联接件能够适用于结构不同的五种型号的变速箱。
     4.试验台采用交流电机变频调速技术,加载时输出端电机起到发电机的作用,能够将驱动电机传递过来的机械动能转化为电能,通过变频器返回电网,节约了大量能源,实际工作时功耗仅为总功率的十分之一。
     5.通过对换挡过程中的离合器接合和输入电机转速进行精确控制,极大提高了换挡品质,基本上消除了换挡过程对试验台的冲击,同时将对变速箱内部结构的影响降到最低,做到了对产品的无损检测。
     6.利用小波神经网络和专家系统,设计了一种针对未出厂新变速箱的分类与故障诊断系统,用来对变速箱的质量水平进行分类,同时能够对故障变速箱进行初步的诊断。
     本课题所开发的变速箱综合性能试验台已经通过企业验收,投入实际运行,各项性能达到了设计要求,取得了较好的试验效果,并且获得了中国科学院省院共建奖。研制的试验台系统及相关的工作成果,为变速箱试验的进一步研究奠定了良好的基础,也对我国汽车工业的发展有着一定的促进作用。
Gearbox as the main components of the car, in the event of failure at worst affectthe car's dynamic performance, serious may not be driving, there may even place avariety of traffic accidents, endangering life. Gearbox to maintain a good workingstate, it is necessary to pay attention to routine maintenance, but also need to ensurethat when its loading is a qualified product. So the test after the gearbox assembly iscrucial. But how to design a stable and reliable test bed to detect gearbox products, ithas been a problem to explore for a vast number of research institutions andenterprises.
     The launching of this subject was under the support of the manual gearboxcomprehensive performance test bed project commissioned by a well-knownautomotive group in Anhui, combined with the Outstanding Youth Fund of AnhuiProvince: auto gearbox Universal energy-efficient intelligent detection system(2008JQL085). In accordance with relevant standards, a test bed was designed to testvarious types of manual gearbox. The comprehensive application of the science ofcontrol, signal processing, sensor technology and artificial intelligence theory, wasused to study the key issues such as the variable loading, shift controlling, noisefiltering, product classification and fault diagnosis.
     The main contents of this article and made innovative achievements are asfollows:
     1. The structure and working principle of the manual gearbox was studied, andthe types, advantages and disadvantages of the automatic gearbox were analyzed. Onthis basis, the test items and test methods of the gearbox test was summarized, as afoundation for further research.
     2. In the working environment of the test bed, the measured signal wassusceptible to a variety of noise. By studying non-stationary random signal and thefrequency analysis method, the use of biorthogonal wavelet filter noise reductiongearbox test bed signal was proposed based on wavelet analysis. The practice hasshown that the noise reduction effect is very obvious.
     3. An integrated test bed which could carry out both a shift performance testand load performance test was designed. Load capacity could be adjusted according toneed, and thus it was able to simulate a vehicle traveling a variety of conditions. Thetest bed was also capable of a variety of other test items, such as gearbox efficiencytesting, fatigue testing, noise testing, the oil temperature testing, and it could be extended to other test items by manually test. In addition, the test bed through thereplacement of the couplings could be applied to different structures of the five typesof gearbox.
     4. The AC motor speed control technology was used by the test bed. At loadtime, the output motor act as a generator changed the mechanical kinetic energy bythe drive motor passed into electricity. Electrical energy could be returned to the gridthrough the inverter, saving a lot of energy. Power consumption of the test bed wasonly one tenth of the total power when the actual working.
     5. Precise control of clutch and input motor speed in the shift process greatlyimproved the shift quality. This control basically eliminated the impact of the shiftingprocess of the test bed; at the same time minimized the impact of the gearboxstructure. Non-destructive testing of products could be achieved.
     6. A classification and fault diagnosis system for unreleased new gearbox wasdesigned by wavelet neural network and expert system. The system was used for thegearbox classification of quality level, and a preliminary diagnosis of the faultgearbox.
     The gearbox comprehensive performance test bed developed in this subject haspassed through the corporate acceptance, and put into practical operation. Theperformance of the test bed has achieved the design requirements and better testresults. The test bed received the Award of the Chinese Academy of Sciences andAnhui to build. Developed test bed system and the results of the work for the furtherstudy of the gearbox test has laid a good foundation, and also has a certain role inpromoting the development of China's automobile industry.
引文
[1]王继.创新与创新驱动力[J].机械管理开发, 2011(05):125-126.
    [2]王晓强.浅谈高质量汽车变速箱的制造[J].科技风, 2011(07):66-67.
    [3]范明强.商用车动力总成技术的发展趋势[J].重型汽车, 2011(05):88-90.
    [4]刘明坤.拖拉机变速箱零件修理初探[J].农业机械, 2009(05):102-103.
    [5]张有禄.关于机械式变速箱传动效率影响因素的探讨[J].机械工程与自动化,2008(06):57-60.
    [6]尹良杰,郑海兵,黄炜民.汽车干摩擦式离合器整车测试评价方法[J].合肥工业大学学报(自然科学版), 2007(S1):138-142.
    [7]高杉.宝马全新七速M-DCT双离合器变速箱问世[J].轻型汽车技术,2008(09):127-128.
    [8]朱向雷,王静.国内乘用车变速器配套市场分析[J].汽车与配件, 2007(47):86-88.
    [9]曹成龙.金属带式无级变速器夹紧力试验研究[J].湖南大学学报(自然科学版), 2010.37(7):231-135.
    [10]高少华,陈宁. AMT变速箱的设计[J].无锡商业职业技术学院学报, 2010(03):186-190.
    [11]张有禄.机械式汽车变速箱试验方法与应用[J].机械工程与自动化, 2009(01):155-158.
    [12]梁礼明.电加载变速箱试验台转矩的检测电路[J].拖拉机与农用运输车,2004(6):54-47.
    [13] Chandra, M., R. Langari, and Ieee, Gearbox degradation identification using patternrecognition techniques, in 2006 Ieee International Conference on Fuzzy Systems, Vols 1-5.2006. p. 1520-1526.
    [14]李宏.汽车变速器总成交检试验台的研究[D].天津大学硕士学位论文, 2004.
    [15]吴胜军.轻型汽车变速箱第一轴的疲劳分析[J].机械设计与制造, 2008(05):89-92.
    [16]张威. AMT台架试验方法研究[J].汽车技术, 2010(08):77-79.
    [17] Eberleh, B., T. Hartkopf. A high speed induction machine with two speed transmission asdrive for electric vehicles[C]. 2006 International Symposium on Power Electronics,Electrical Drives, Automation and Motion, Vols 1-3. 2006: 249-254.
    [18]丛爽著.神经网络、模糊系统及其在运动控制中的应用[M].合肥,中国科学技术大学出版社,2001年5月.
    [19] Godinez-Azcuaga, V.F., et al.. Semi-real-time monitoring of cracking on couplings byneural network analysis of acoustic emission signals, in Health Monitoring and SmartNondestructive Evaluation of Structural and Biological System Iii[M]. T. Kundu, Editor.2004: 428-437.
    [20] Hoeijmakers, M.J. and J.A. Ferreira. The electric variable transmission[C]. IeeeTransactions on Industry Applications, 2006. 42(4): 1092-1100.
    [21]桂任舟,杨子杰.基于信号分解的时频分析方法在高频地波雷达目标监测中的应用研究[J].武汉大学学报(信息科学版), 2006(07): 653-656.
    [22]徐世艳.经验模态分解的时频分析方法及其应用[J].吉林大学学报, 2009(05): 487-492.
    [23] Baragetti, S.. Fatigue resistance of steel and titanium PVD coated spur gears[J].International Journal of Fatigue, 2007. 29(9-11): 1893-1903.
    [24]荣海娜,张葛祥,金炜东.多分量信号快速时频分析方法[J].电路与系统学报,2010(05): 57-63.
    [25] Culbert, I.M. and W. Rhodes. Using current signature analysis technology to reliably detectcage winding defects in squirrel-cage induction motors[C]. Ieee Transactions on IndustryApplications, 2007. 43(2): 422-428.
    [26] Amaro, R.I., et al.. Molybdenum disulphide/titanium low friction coating for gearsapplication[J]. Tribology International, 2005. 38(4): p. 423-434.
    [27]吴小羊,刘天佑.基于时频重排的地震信号Wigner-Ville分布时频分析[J].石油地球物理勘探, 2009(02): 201-205.
    [28] Datta, A., et al.. Neural netowrk based fault diagnostics of industrial robots using waveltmulti-resolution analysis[J]. in 2007 American Control Conference, Vols 1-13. 2007:5254-5259.
    [29]罗怡.应用联合时频分析研究焊接过程中的电信号[J].焊接学报, 2007(02):75-78,116-117.
    [30] Jafarizadeh, M.A., et al.. Asynchronous input gear damage diagnosis using time averagingand wavelet filtering[J]. Mechanical Systems and Signal Processing, 2008. 22(1): 172-201.
    [31] Kar, C. and A.R. Mohanty. Monitoring gear vibrations through motor current signatureanalysis and wavelet transform[J]. Mechanical Systems and Signal Processing, 2006. 20(1):158-187.
    [32]杨蒲,李奇.基于双正交小波的稳定平台系统中陀螺信号滤波应用研究[J].测控技术,2007(04): 32-36.
    [33] Averbuch, A.Z. and V.A. Zheludev. A new family of spline-based biorthogonal wavelettransforms and their application to image compression[C]. Ieee Transactions on ImageProcessing, 2004. 13(7): p. 993-1007.
    [34]王奉涛.非平稳信号故障特征提取与智能诊断方法的研究及应用[D].大连理工大学博士学位论文, 2003.
    [35] Golwelkar, A. and J.W. Woods. Scalable video compression using longer motioncompensated temporal filters[C]. Visual Communications and Image Processing 2003, Pts1-3, T. Ebrahimi and T. Sikora, Editors. 2003: 1406-1416.
    [36] Fu, S.Y., B. Muralikrishnan, J. Raja. Engineering surface analysis with different waveletbases[J]. Journal of Manufacturing Science and Engineering-Transactions of the Asme,2003. 125(4): 844-852.
    [37] Beuchler, S., R. Schneider, C. Schwab. Multiresolution weighted norm equivalences andapplications[J]. Numerische Mathematik, 2004. 98(1): 67-97.
    [38]盛英.基于小波变换的语音信号降噪研究[D].哈尔滨工程大学硕士士学位论文,2007.
    [39] Kotteri, K.A., A.E. Bell, J.E.. Carletta, Design of multiplierless, high-performance, waveletfilter banks with image compression applications[C]. Ieee Transactions on Circuits andSystems I-Regular Papers, 2004. 51(3): 483-494.
    [40]程军圣,杨宇.基于广义解调时频分析的多分量信号分解方法[J].振动工程学报,2007(06): 563-569.
    [41] Kotteri, K.A., et al.. A comparison of hardware implementations of the biorthogonal 9/7DWT: Convolution versus lifting[C]. Ieee Transactions on Circuits and Systems Ii-ExpressBriefs, 2005. 52(5): 256-260.
    [42] Rucka, M. and K. Wilde. Application of continuous wavelet transform in vibration baseddamage detection method for beams and plates[J]. Journal of Sound and Vibration, 2006.297(3-5): 536-550.
    [43] Ehler, M.. Compactly supported multivariate pairs of dual wavelet frames obtained byconvolution[J]. International Journal of Wavelets Multiresolution and InformationProcessing, 2008. 6(2): 183-208.
    [44] Bertram, M. Generalized B-spline subdivision-surface wavelets for geometrycompression[C]. Ieee Transactions on Visualization and Computer Graphics, 2004. 10(3):326-338.
    [45]李如玮,鲍长春, ,窦慧晶.基于双正交小波包分解的自适应阈值语音增强.仪器仪表学报[J], 2008(10): 2135-2140.
    [46] Stevenson, R.. Locally supported, piecewise polynomial biorthogonal wavelets onnonuniform meshes[J]. Constructive Approximation, 2003. 19(4): 477-508.
    [47]罗静.小波包时频分析方法的研究及应用[J].重庆邮电大学学报, 2009(03): 379-387.
    [48] Kunoth, A. , J. Sahner, Wavelets on manifolds: An optimized construction[J]. Mathematicsof Computation, 2006. 75(255): 1319-1349.
    [49] Wang, H.W., K.H. Qin, K. Tang. Efficient wavelet construction with Catmull-Clarksubdivision[J]. Visual Computer, 2006. 22(9-11): 874-884.
    [50] Dulger, L.C., A. Kirecci, and M. Topalbekiroglu. Modeling and simulation of a hybridactuator[J]. Mechanism and Machine Theory, 2003. 38(5): 395-407.
    [51]汤井田. Hilbert-Huang变换与大地电磁信号的时频分析[J].中南大学学报(自然科学版),2009(05): 1399-1405.
    [52]朱思洪.大型拖拉机动力换挡变速箱试验台[J].农业机械学报, 2011(04): 13-16,38.
    [53] Bonnardot, F. Use of the acceleration signal of a gearbox in order to perform angularresampling (with limited speed fluctuation) [J]. Mechanical Systems and Signal Processing,2005. 19(4): 766-785.
    [54]赵熙俊. AMT可靠性台架试验方法研究.汽车工程, 2009(09):98-103.
    [55] Emmanouilidis, C., E. Jantunen, J. MacIntyre. Flexible software for condition monitoring,incorporating novelty detection and diagnostics[J]. Computers in Industry, 2006. 57(6):516-527.
    [56]陈清红.手动变速器试验电加载技术研究[D].合肥工业大学硕士学位论文, 2010.
    [57] Firpi, H. Swarmed neuro-artificial features from vibration data for fault detection andisolation[C]. 2006 Ieee Congress on Evolutionary Computation, Vols 1-6. 2006: 871-877.
    [58]蔡红专,张建路.多用途变速箱试验台[J].煤矿机械[J], 2008(08): 112-114.
    [59]龚鹏.电机驱动式自动变速操纵系统的台架试验研究[J].车辆与动力技术,2003(04):66-69.
    [60]楼赣菲.直流母线电封闭变速箱试验台测控系统的设计[D].合肥工业大学硕士学位论文,2008.
    [61]崔华芳,王晶.变频调速技术在变速箱试验台上的应用[J].建筑机械, 2006(05):83-85.
    [62] Kia, S.H., H. Henao, G.A. Capolino. Torsional Vibration Effects on Induction MachineCurrent and Torque Signatures in Gearbox-Based Electromechanical System[C]. IeeeTransactions on Industrial Electronics, 2009. 56(11): 4689-4699.
    [63] Lazar, C. Modelling and Predictive Control of an Electro-Hydraulic Actuated Wet Clutchfor Automatic Transmission[C]. Ieee International Symposium on Industrial Electronics.2010: 256-261.
    [64]王普凯,李海军.基于随机方向法与车辆原地起步加速过程模拟的变速箱挡比优化模型[J].兵工学报, 2005(03):135-137.
    [65]常智海.变速箱试验台控制系统[J].电气传动, 2008(07):73-76.
    [66] Lucente, G., M. Montanari, C. Rossi. Hybrid modelling of a car driveline for servo-actuatedgear shift[C]. Isie 2005: Proceedings of the Ieee International Symposium on IndustrialElectronics 2005, Vols 1- 4, 2005:223-228.
    [67]梁礼明.新型变速箱试验台的研制与电气分析.机床与液压, 2005(10):113-116.
    [68]黄建明.机械式自动变速器的控制策略研究[D].重庆大学博士学位论文, 2004.
    [69]雷雨龙. AMT换档质量试验评价体系.吉林大学学报(工学版), 2009(02):138-142.
    [70] Martins, R., R. Amaro, J. Seabra. Influence of low friction coatings on the scuffing loadcapacity and efficiency of gears[J]. Tribology International, 2008. 41(4): 234-243.
    [71]吕希胜.变速箱试验环线集成控制系统[J].计算机工程, 2009(20):658-661.
    [72]龙月泉.基于阶次跟踪的变速箱噪声源识别[J].噪声与振动控制, 2008(06):92-95.
    [73]李琦.基于工控机的割草机变速箱测试控制系统[J].仪表技术与传感器,2003(02):87-90.
    [74]刘海鸥.履带车辆随车扭矩测试系统的研究[J].农业机械学报, 2003(03):143-146.
    [75]张伟社.四档位行星变速箱传动方案综合法.长安大学学报, 2006(01):55-58.
    [76]陈福恩.同步器寿命性能测试系统及其操纵机器手的控制.中国工程机械学报,2004(01):84-87.
    [77] Molle, R. , M.E.G. Vdi. Control and operating behavior of continuously variable chaintransmissions[C], in Conference: Agricultural Engineering, 2003. 2003: 397-402.
    [78]李新娥.压力传感器标定装置高压密封垫的设计[J].润滑与密封, 2009(09):56-59.
    [79] Polinder, H. Comparison of direct-drive and geared generator concepts for wind turbines[J].Ieee Transactions on Energy Conversion, 2006. 21(3): 725-733.
    [80]王志胜.传感器标定的统一数据处理方法[J].传感器技术, 2004(03):61-64.
    [81]陈亚丁.超高速跳频通信系统的实现及抗干扰性能[J].电子与信息学报,2007(09):34-36.
    [82]李春.基于小波的继电保护装置电磁干扰软件防护快速算法研究[J].电力自动化设备,2008(11):72-75.
    [83]刘立君.力觉临场感遥控焊接信号传输抗干扰技术[J].焊接学报, 2005(09):102-105.
    [84]葛楠.基于直流调速技术的变速箱加载试验台[J].北京理工大学学报, 2008(01):77-80.
    [85]胡宇辉.基于CAN总线的换挡过程控制技术[J].机械工程学报, 2006(S1):231-234.
    [86]张泰.改善车辆起步换挡品质提高乘坐舒适性的研究[J].农业机械学报,2003(01):18-21.
    [87] Fu, H. A Novel Control Scheme of Propulsion Motor for Integrated Powertrain of ElectricBus[C]. 2009 Ieee Vehicle Power and Propulsion Conference, Vols 1-3. 2009: 1286-1291.
    [88]王天华.拖拉机机械式自动变速器动力性换挡试验[J].农业机械学报, 2009(01):53-56.
    [89]刘振军.基于人—车—路环境下的汽车电控机械自动变速智能控制研究[D].重庆大学博士学位论文, 2005.
    [90]王卓.工程车辆自动变速器换挡的神经网络控制系统[J].西安交通大学学报,2002(03):58-61.
    [91]叶明,秦大同.轻度混合动力AMT系统换挡品质控制[J].机械工程学报,2009(05):76-80.
    [92] Nagahata, D. Reducing Gear Whine of a Valtra Continuous Variable Transmission[C].iAgricultural Engineering - Land-Technik Ageng 2009: Innovations to Meet FutureChallenges. 2009:113-122.
    [93]张勇.行星齿轮变速箱换挡过程的建模与仿真[J].吉林工业大学学报(工学版),2002(01):51-54.
    [94]孙文涛.电控自动变速器换挡过程控制策略[J].农业机械学报, 2008(12):67-72.
    [95] Tideman. Design and evaluation of a virtual gearshift application[C]. 2004 Ieee IntelligentVehicles Symposium. 2004:465-470.
    [96]孔慧芳.电控机械式自动变速器中传动与控制的关键技术研究[D].合肥工业大学博士学位论文, 2008.
    [97]唐新星.工程车辆自动变速控制系统仿真与试验[J].农业机械学报, 2007(01):72-75.
    [98] Turner, A. Direct-drive rotary-linear electromechanical actuation system for control ofgearshifts in automated transmissions[C]. 2007 Ieee Vehicle Power and PropulsionConference, Vols 1 and 2. 2007:267-272.
    [99]吴光强,杨伟斌.双离合器式自动变速器控制系统的关键技术[J].机械工程学报,2007(02):59-63.
    [100]张金乐.双离合器自动变速器换挡特性与控制仿真[J].农业机械学报, 2010(05):66-69.
    [101]王伟达.重型混合驱动车辆换挡过程主动调速控制技术[J].农业机械学报,2010(08):32-35.
    [102] Reitz, D., M. Dilzer. ESG - from parallel shift gearbox to hybrid[J]. Innovative Power TrainSystems. 2004(01):273-286.
    [103]何忠波.发动机断油控制对AMT换挡品质的影响[J].北京理工大学学报,2004(01):25-29.
    [104]尹华鑫.汽车变速换档机构的虚拟测试系统开发[D].重庆交通大学硕士学位论文,2008.
    [105] Tideman, M. Haptic virtual prototyping for design and assessment of gear-shifts[J]. InAdvances in Design, H.A. ElMaraghy and W.H. ElMaraghy, Editors. 2006:461-471.
    [106]龚鹏.电机驱动转阀控制的车辆行星变速箱自动换挡技术[J].北京理工大学学报,2006(08):85-88.
    [107]羊拯民.基于时序分析与模糊聚类的变速箱齿轮故障识别[J].农业机械学报, 2004(02).
    [108] Rafiee, J., et al., A novel technique for selecting mother wavelet function using anintelligent fault diagnosis system. Expert Systems with Applications, 2009. 36(3): p.4862-4875.
    [109]陈朝阳.汽车故障诊断专家系统的现状与发展趋势[J].机械工程学报, 2003(11):76-79.
    [110]刘培奇.扩展产生式规则的网络故障诊断专家系统[J].西安交通大学学报,2004(08):55-58.
    [111]冯建农.故障诊断专家系统神经网络学习机研究.华南理工大学学报(自然科学版),1997(06):63-66.
    [112] Sadeghi, M.H. A fault detection and identification system for gearboxes using neuralnetworks[C]. Proceedings of the 2005 International Conference on Neural Networks andBrain, Vols 1-3, 2005: 964-969.
    [113]陈果.基于神经网络和D-S证据理论的发动机磨损故障融合诊断[J].航空动力学报,2005(02):45-47.
    [114] Samanta, B.. Gear fault detection using artificial neural networks and support vectormachines with genetic algorithms[J]. Mechanical Systems and Signal Processing, 2004.18(3): 625-644.
    [115]刘峰.基于复合人工神经网络的核电站实时故障诊断方法研究[J].核动力工程,2007(02):79-82.
    [116]汪子皓and莫易敏,基于故障诊断二叉树的内燃机车故障诊断专家系统.中国铁道科学, 2008(05).
    [117]张春晓.基于专家系统的变电站监控信号智能处理系统[J].东南大学学报(自然科学版), 2008(S2):115-118.
    [118]陈长征.小波神经网络法在柴油机故障诊断中的应用[J].内燃机学报, 2002(01):66-69.
    [119]徐龙云.基于小波神经网络的齿轮故障诊断[D].兰州理工大学硕士学位论文, 2007.
    [120] Mohanty, A.R., C. Kar. Fault detection in a multistage gearbox by demodulation of motorcurrent waveform[J]. Ieee Transactions on Industrial Electronics, 2006. 53(4): 1285-1297.
    [121]李冬辉.基于小波神经网络的传感器故障诊断方法研究[J].电工技术学报,2005(05):85-88.
    [122] Rafiee, J. Intelligent condition monitoring of a gearbox using artificial neural network[J].Mechanical Systems and Signal Processing, 2007. 21(4): p. 1746-1754.
    [123] Ohue, Y., A. Yoshida. Application of the wavelet transform to health monitoring andevaluation of dynamic characteristics in gear sets[J]. Proceedings of the Institution ofMechanical Engineers Part J-Journal of Engineering Tribology, 2004. 218(J1): p. 1-11.

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