基于虚拟仪器的液压动力系统故障诊断专家系统研究
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摘要
随着液压技术在各个领域的广泛应用,用户对液压系统的稳定性和可靠性的要求越来越高,若液压系统在运行过程中一旦发生意外故障,不能及时诊断维修将会给用户造成重大经济损失。传统的测试方法和故障诊断方法需要花费大量的人力和财力,而基于虚拟仪器的智能诊断方法由于利用领域专家丰富的经验和知识,在液压系统的故障诊断中充分显示出其优越性。
本文首先介绍了虚拟仪器技术、专家系统和故障树分析法等技术,并阐述了各项技术在机械故障诊断中的应用现状;针对液压动力系统故障诊断的特殊性,提出了基于虚拟仪器的故障诊断专家系统的设计方案。
根据液压动力系统对信号采集的特殊需求,选择了基于数据采集卡的硬件和LabVIEW软件作为液压动力系统虚拟仪器开发平台。该平台可以方便地采集液压动力系统的流量、压力、温度、电压、电流等多路动态信号,可以利用虚拟仪器开发平台在信号滤波、时域和频域分析方面的强大功能实现液压动力系统多源诊断信息的获取。本文主要研究了液压动力系统故障形成机理及其故障树的建立,在此基础上提出了基于故障树的液压动力系统故障诊断专家系统;利用故障树生成专家系统知识库后,实现了诊断知识的获取并确保了知识的一致性和完备性;最后利用C语言、Access、LabVIEW来实现专家系统的程序设计。
With the wide application of hydraulic technology in various fields,users have increasingly high demands on stability and reliability of hydraulic systems.Once unexpected faults occurred in running of the hydraulic system and the system can not diagnose and repair in time,it will bring great economic losses to users.The traditional testing and fault diagnosis methods usually spend a lot of human and financial resources.The intelligent diagnostic methods which based on virtual instrument using a wealth of experience and knowledge of the experts demonstrate its superiority in the hydraulic system fault diagnosis.
This paper introduced the virtual instrument technology, expert system ,and fault tree analysis techniques firstly,and the current statement of application in mechanical fault diagnosis has been described.According to the particularity of the hydraulic power system,the design of fault diagnosis expert system which based on virtual instrument is presented.
According to the special requirements of signal acquisition from hydraulic power system,the hardware which based on the date acquisition card and the LabVIEW are selected as a development platform of virtual instrument of hydraulic power system .The platform can conveniently collect multi-channel dynamic signals,such as the flow,pressure,temperature,voltage and electric current.The virtual instrument development platform can be used in the signal filtering,time and frequency domain analysis in order to achieve the multi-source information of hydraulic power system.
On the basis of the mechanism of fault and the establishment of the fault tree of hydraulic power system, generated expert system knowledge system by using fault tree,to achieve accessing to and to ensure the consistency and completeness of the diagnosis knowledge.The expert system is built using C language,Access and LabVIEW finally.
本文首先介绍了虚拟仪器技术、专家系统和故障树分析法等技术,并阐述了各项技术在机械故障诊断中的应用现状;针对液压动力系统故障诊断的特殊性,提出了基于虚拟仪器的故障诊断专家系统的设计方案。
根据液压动力系统对信号采集的特殊需求,选择了基于数据采集卡的硬件和LabVIEW软件作为液压动力系统虚拟仪器开发平台。该平台可以方便地采集液压动力系统的流量、压力、温度、电压、电流等多路动态信号,可以利用虚拟仪器开发平台在信号滤波、时域和频域分析方面的强大功能实现液压动力系统多源诊断信息的获取。本文主要研究了液压动力系统故障形成机理及其故障树的建立,在此基础上提出了基于故障树的液压动力系统故障诊断专家系统;利用故障树生成专家系统知识库后,实现了诊断知识的获取并确保了知识的一致性和完备性;最后利用C语言、Access、LabVIEW来实现专家系统的程序设计。
With the wide application of hydraulic technology in various fields,users have increasingly high demands on stability and reliability of hydraulic systems.Once unexpected faults occurred in running of the hydraulic system and the system can not diagnose and repair in time,it will bring great economic losses to users.The traditional testing and fault diagnosis methods usually spend a lot of human and financial resources.The intelligent diagnostic methods which based on virtual instrument using a wealth of experience and knowledge of the experts demonstrate its superiority in the hydraulic system fault diagnosis.
This paper introduced the virtual instrument technology, expert system ,and fault tree analysis techniques firstly,and the current statement of application in mechanical fault diagnosis has been described.According to the particularity of the hydraulic power system,the design of fault diagnosis expert system which based on virtual instrument is presented.
According to the special requirements of signal acquisition from hydraulic power system,the hardware which based on the date acquisition card and the LabVIEW are selected as a development platform of virtual instrument of hydraulic power system .The platform can conveniently collect multi-channel dynamic signals,such as the flow,pressure,temperature,voltage and electric current.The virtual instrument development platform can be used in the signal filtering,time and frequency domain analysis in order to achieve the multi-source information of hydraulic power system.
On the basis of the mechanism of fault and the establishment of the fault tree of hydraulic power system, generated expert system knowledge system by using fault tree,to achieve accessing to and to ensure the consistency and completeness of the diagnosis knowledge.The expert system is built using C language,Access and LabVIEW finally.
引文
[1]汪繁荣.锻造液压机液压系统故障诊断专家系统研究[D].武汉:华中科技大学硕士论文,2004
[2]钟展青,邓家青等.液压设备故障智能诊断系统(综述)[J].南方金属,2002,02:23-25
[3]王永庆.人工智能原理.方法.应用(第一版)[M].西安:西安交通大学出版社,1994
[4]李增芳.基于人工智能和虚拟仪器技术的发动机故障诊断专家系统研究[D].浙江:浙江大学博士论文,2004
[5]黄志坚,袁周.液压设备故障诊断与监测实用技术(第一版)[M].北京:机械工业出版社,2005
[6]郑友江,赵继云等.液压系统智能诊断系统研究与发展[J].煤矿机械,2006,12:195-197
[7]王坚.基于自适应共振神经网络的液压动力系统故障诊断专家系统研究[D].西安:西安建筑科技大学硕士论文,2006
[8]彭永.振动压路机故障诊断专家系统研究[D].西安:长安大学,2007
[9]黄文虎,夏松波,刘瑞岩等.设备故障诊断原理、技术及应用[M].北京:科学出版社,1996
[10]吴今培,肖建华.智能故障诊断与专家系统[M].北京:科学出版社,1997
[11]宋红英.基于蚁群神经网络的发动机故障诊断专家系统的研究[D].北京:中国农业大学硕士学位论文,2005
[12]林尧瑞,石纯一等.专家系统原理与实践(第一版)[M].北京:清华大学出版社,1988
[13]程伟良.广义专家系统[M].北京:北京理工大学出版社,2005,02
[14]马鸣远.人工智能与专家系统导论[M].北京:清华大学出版社,2006,11
[15]张伟.基于故障树分析法的集装箱装卸桥的故障诊断[D].上海:上海海事大学,2006
[16]鲁青.基于FTA的矿井提升机钢丝绳断绳故障分析[J].矿山机械,2006,02:0356-0358
[17]何志泉.基于虚拟仪器的机车电子柜智能诊断系统研究[D].成都:西南交通大学硕士论文,2006
[18]郭伟伟.基于故障树技术的远程故障诊断专家系统的研究[D].西安:西北工业大学硕士论文,2007
[19]刘世欣.基于故障树的变电设备故障诊断专家系统[D].北京:华北电力大学硕士论文,2006
[20]鲁青.基于FTA的故障诊断专家系统的研究[D].山东:山东科技大学硕士论文,2006
[21]陈炜,吴志良.故障诊断专家系统结合故障树技术的结构研究[J].2005,6
[22]刘承相,程礼.故障树在专家系统中的应用[J].机械科学与技术,2003,22:8-10
[23]谷立臣.液压动力系统运行状态识别技术研究[J].机械工程学报,2001,06:61-65,71
[24]刘延俊.液压系统实用与维修(第一版)[M].北京:化学工业出版社,2006,05
[25]李兴中,陈启松,朱福元.液压设备管理维护手册(第一版)[M].上海:上海科学技术出版社,1996,12
[26]张宪波.基于虚拟仪器技术的柴油机燃油喷射系统故障诊断的研究[D].浙江:浙江大学硕士论文,2005
[27]Xu Yingyuan,Yu Jinshou.A new method of coverting database into knowledgebase Intelligent Control and Automation.2000.Proceedings of the 3rd Word Congress on Vol(1).28 July 2000 Page(s):233-237
[28]赛奎春,李俊民,高春艳.Access数据库开发实例解析[M].北京:机械工业出版社,2006,01
[29]李晓强,崔德光.基于关系型数据库的知识库结构设计[J].计算机工程与应用,2001:102-104
[30]吴海桥,刘毅.基于关系型数据库的知识的建立[J].微型电脑应用,2001,11
[31]潭浩强.C程序设计(第二版)[M].北京:清华大学出版社,1999
[32]周林,殷侠.数据采集与分析技术[M].西安:西安电子科技大学出版社,2005
[33]秦树人.虚拟仪器[M].北京:中国计量出版社,2003,12
[34]陈敏,汤晓安.虚拟仪器开发环境及其数据采集[J].计算机工程与设计,2001,10:61-63
[35]张雅丽,王宝光等.虚拟仪器在故障诊断中的应用[J].机床与液压,2005, 1:192-193
[36]袁媛,李绍稳,汪伟伟等.基于虚拟仪器技术的果园生态环境数据采集系统设计与实现[J].农业网络信息,2005(12):21-24
[37]陈锡辉,张银鸿.LabVIEW8.20.程序设计从入门到精通[M].北京:清华大学出版社出版,2007,7
[38]宋增,彭长征等.虚拟仪器在机械设备故障诊断中的应用[J].专题论坛及综述,2006,05:63-64
[39]雷勇.虚拟仪器设计与实践[M].北京:电子工业出版社,2005,03
[40]郭北涛,王淑莲.虚拟仪器在工程机械液压系统故障诊断检测中的应用[J].机床与液压,2006.8:216-217
[41]Han Huilian,Fan Qifeng,Zhang Lun . Design of software platform for virtual instrument . Proceeding of the International Symposium on Test and Measurement.1999:277-280
[42]McQuiston Barbara K . Virtual Instruments for use in test systems development.Proceedings of AutoTestCON.1999:639-642
[43]谷立臣.机械信号处理及应用[M].西安:陕西科学技术出版社,2000,07
[44]Djurovic Igor, Stankovic Ljubisa.Virtual Instrument for time-frequency analysis.IEEE Transaction on Instrumentation and Measurement 48 6 Dec 1999.12:1086-1092
[45]李益平.基于虚拟仪器的液压设备运行状态在线监测系统研究[D].西安:西安建筑科技大学,2007
[46]Khoshzaban-Zavarehi,Masoud. On-line condition monitoring and fault diagnosis in hydraulic system components using parameter estimation and pattern classification.The University of British Columbia (Canada) ,1997
[47]Mares, David M .Developmental laboratories for biomedical instrumentation and digital signal processing with virtual instrument technology and diverse software techniques.University of Wyoming,2006
[48]NI PXI-8195/8196 User Manual National Instruments Corporation,March2005.
[49]J.W.Spoelder.Virtual instrumentation and Virtual environments.Instrumentation $Measrument Magazine, IEEE, pages14-19, Vol.2, No3, Sep.1999
[50]陆鹤.基于虚拟仪器技术的设备故障诊断[J].林业科技情报,2004,36(1):44
[51]Collacott R A. Mechanical Fault Diagnosis and Condition Monitoring. London: Chapman and Hall, 1997
[52] Akbaryan, Fardin. Fault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trends by a wavelet-based technique.University of Calgary (Canada) .2002.12.05
[53]National Instruments Corporation . The Measurement and Automation Catalog 2001.National Instruments Corporation,2001
[54]Terry Martin.Expert System for Diagnosing Equipment Failures.IEEE 1998.10
[55]Shao Hungchang .Object-oriented Expert System for Fault Diagnosis. IEEE 1993.6
[56]秘晓云,张彦斌,王洪波等.LabVIEW中利用LabSQL对数据库访问技术的探讨[J].自动化与仪器,2004,06:54-57
[57]C.S.Xu.Object-oriented Synergetic Expert System for Fault Diagnosis.IEEE.1994.3
[58]王洪波,张彦斌等.LabVIEW与Access数据库访问接口研究[J].微机算计信息,2004:57-58
[59]张居敏.C语言编程精要12讲[D].北京:电子工业出版社,2006
[60]王载新.程序设计基础.C语言[D].北京:人民邮电出版社,2000
[61]李建鹏,徐小力等.基于虚拟仪器的轴体裂纹诊断专家系统研究[J].北京机械工业学院学报,2007,02:5-8
[62]李增芳,何勇.基于虚拟仪器和灰色理论的发动机故障诊断专家系统[J].科技通报,2003,19(3):222-224
[2]钟展青,邓家青等.液压设备故障智能诊断系统(综述)[J].南方金属,2002,02:23-25
[3]王永庆.人工智能原理.方法.应用(第一版)[M].西安:西安交通大学出版社,1994
[4]李增芳.基于人工智能和虚拟仪器技术的发动机故障诊断专家系统研究[D].浙江:浙江大学博士论文,2004
[5]黄志坚,袁周.液压设备故障诊断与监测实用技术(第一版)[M].北京:机械工业出版社,2005
[6]郑友江,赵继云等.液压系统智能诊断系统研究与发展[J].煤矿机械,2006,12:195-197
[7]王坚.基于自适应共振神经网络的液压动力系统故障诊断专家系统研究[D].西安:西安建筑科技大学硕士论文,2006
[8]彭永.振动压路机故障诊断专家系统研究[D].西安:长安大学,2007
[9]黄文虎,夏松波,刘瑞岩等.设备故障诊断原理、技术及应用[M].北京:科学出版社,1996
[10]吴今培,肖建华.智能故障诊断与专家系统[M].北京:科学出版社,1997
[11]宋红英.基于蚁群神经网络的发动机故障诊断专家系统的研究[D].北京:中国农业大学硕士学位论文,2005
[12]林尧瑞,石纯一等.专家系统原理与实践(第一版)[M].北京:清华大学出版社,1988
[13]程伟良.广义专家系统[M].北京:北京理工大学出版社,2005,02
[14]马鸣远.人工智能与专家系统导论[M].北京:清华大学出版社,2006,11
[15]张伟.基于故障树分析法的集装箱装卸桥的故障诊断[D].上海:上海海事大学,2006
[16]鲁青.基于FTA的矿井提升机钢丝绳断绳故障分析[J].矿山机械,2006,02:0356-0358
[17]何志泉.基于虚拟仪器的机车电子柜智能诊断系统研究[D].成都:西南交通大学硕士论文,2006
[18]郭伟伟.基于故障树技术的远程故障诊断专家系统的研究[D].西安:西北工业大学硕士论文,2007
[19]刘世欣.基于故障树的变电设备故障诊断专家系统[D].北京:华北电力大学硕士论文,2006
[20]鲁青.基于FTA的故障诊断专家系统的研究[D].山东:山东科技大学硕士论文,2006
[21]陈炜,吴志良.故障诊断专家系统结合故障树技术的结构研究[J].2005,6
[22]刘承相,程礼.故障树在专家系统中的应用[J].机械科学与技术,2003,22:8-10
[23]谷立臣.液压动力系统运行状态识别技术研究[J].机械工程学报,2001,06:61-65,71
[24]刘延俊.液压系统实用与维修(第一版)[M].北京:化学工业出版社,2006,05
[25]李兴中,陈启松,朱福元.液压设备管理维护手册(第一版)[M].上海:上海科学技术出版社,1996,12
[26]张宪波.基于虚拟仪器技术的柴油机燃油喷射系统故障诊断的研究[D].浙江:浙江大学硕士论文,2005
[27]Xu Yingyuan,Yu Jinshou.A new method of coverting database into knowledgebase Intelligent Control and Automation.2000.Proceedings of the 3rd Word Congress on Vol(1).28 July 2000 Page(s):233-237
[28]赛奎春,李俊民,高春艳.Access数据库开发实例解析[M].北京:机械工业出版社,2006,01
[29]李晓强,崔德光.基于关系型数据库的知识库结构设计[J].计算机工程与应用,2001:102-104
[30]吴海桥,刘毅.基于关系型数据库的知识的建立[J].微型电脑应用,2001,11
[31]潭浩强.C程序设计(第二版)[M].北京:清华大学出版社,1999
[32]周林,殷侠.数据采集与分析技术[M].西安:西安电子科技大学出版社,2005
[33]秦树人.虚拟仪器[M].北京:中国计量出版社,2003,12
[34]陈敏,汤晓安.虚拟仪器开发环境及其数据采集[J].计算机工程与设计,2001,10:61-63
[35]张雅丽,王宝光等.虚拟仪器在故障诊断中的应用[J].机床与液压,2005, 1:192-193
[36]袁媛,李绍稳,汪伟伟等.基于虚拟仪器技术的果园生态环境数据采集系统设计与实现[J].农业网络信息,2005(12):21-24
[37]陈锡辉,张银鸿.LabVIEW8.20.程序设计从入门到精通[M].北京:清华大学出版社出版,2007,7
[38]宋增,彭长征等.虚拟仪器在机械设备故障诊断中的应用[J].专题论坛及综述,2006,05:63-64
[39]雷勇.虚拟仪器设计与实践[M].北京:电子工业出版社,2005,03
[40]郭北涛,王淑莲.虚拟仪器在工程机械液压系统故障诊断检测中的应用[J].机床与液压,2006.8:216-217
[41]Han Huilian,Fan Qifeng,Zhang Lun . Design of software platform for virtual instrument . Proceeding of the International Symposium on Test and Measurement.1999:277-280
[42]McQuiston Barbara K . Virtual Instruments for use in test systems development.Proceedings of AutoTestCON.1999:639-642
[43]谷立臣.机械信号处理及应用[M].西安:陕西科学技术出版社,2000,07
[44]Djurovic Igor, Stankovic Ljubisa.Virtual Instrument for time-frequency analysis.IEEE Transaction on Instrumentation and Measurement 48 6 Dec 1999.12:1086-1092
[45]李益平.基于虚拟仪器的液压设备运行状态在线监测系统研究[D].西安:西安建筑科技大学,2007
[46]Khoshzaban-Zavarehi,Masoud. On-line condition monitoring and fault diagnosis in hydraulic system components using parameter estimation and pattern classification.The University of British Columbia (Canada) ,1997
[47]Mares, David M .Developmental laboratories for biomedical instrumentation and digital signal processing with virtual instrument technology and diverse software techniques.University of Wyoming,2006
[48]NI PXI-8195/8196 User Manual National Instruments Corporation,March2005.
[49]J.W.Spoelder.Virtual instrumentation and Virtual environments.Instrumentation $Measrument Magazine, IEEE, pages14-19, Vol.2, No3, Sep.1999
[50]陆鹤.基于虚拟仪器技术的设备故障诊断[J].林业科技情报,2004,36(1):44
[51]Collacott R A. Mechanical Fault Diagnosis and Condition Monitoring. London: Chapman and Hall, 1997
[52] Akbaryan, Fardin. Fault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trends by a wavelet-based technique.University of Calgary (Canada) .2002.12.05
[53]National Instruments Corporation . The Measurement and Automation Catalog 2001.National Instruments Corporation,2001
[54]Terry Martin.Expert System for Diagnosing Equipment Failures.IEEE 1998.10
[55]Shao Hungchang .Object-oriented Expert System for Fault Diagnosis. IEEE 1993.6
[56]秘晓云,张彦斌,王洪波等.LabVIEW中利用LabSQL对数据库访问技术的探讨[J].自动化与仪器,2004,06:54-57
[57]C.S.Xu.Object-oriented Synergetic Expert System for Fault Diagnosis.IEEE.1994.3
[58]王洪波,张彦斌等.LabVIEW与Access数据库访问接口研究[J].微机算计信息,2004:57-58
[59]张居敏.C语言编程精要12讲[D].北京:电子工业出版社,2006
[60]王载新.程序设计基础.C语言[D].北京:人民邮电出版社,2000
[61]李建鹏,徐小力等.基于虚拟仪器的轴体裂纹诊断专家系统研究[J].北京机械工业学院学报,2007,02:5-8
[62]李增芳,何勇.基于虚拟仪器和灰色理论的发动机故障诊断专家系统[J].科技通报,2003,19(3):222-224