大型旋转机械远程状态监测与故障诊断系统的研究
摘要
为了提高设备状态监测与故障诊断系统的求解能力和信息共享程度，降低构造费用，本文研究了将Internet技术应用于大型旋转机械的远程状态监测与故障诊断系统。提出了系统的构成方案，并对整个系统的工作原理进行了论述。
网络通信技术、数据库技术以及基于组件的面向对象程序设计技术是远程状态监测与故障诊断系统区别于传统的监测诊断系统的关键技术，本文对这些技术的基本概念及其原理进行了研究。深入研究了如何将跨平台的分布式对象技术——JAVA、COM应用于大型旋转机械的远程状态监测与故障诊断系统。利用JAVA、JSP和COM技术实现了基于浏览器的Browser/Server模式的远程状态监测与故障诊断系统。
本文详细讨论了系统中企业客户方的设计与实现，包括客户方局域网的设计，以及在线监测系统、精密分析系统的软件模块的构成。其中详细论述了数据采集的相关理论和方法。
对于远程诊断中心，主要研究了远程信号分析系统的设计与实现，讨论了信号分析处理常用的一些方法，并将这些方法用JAVA、JSP编程语言在J2EE环境下实现，使得系统负荷平衡，更灵活、充分地利用资源。
远程诊断中心另一个重要的功能模块是专家诊断分析处理中心。本文讨论了专家诊断分析处理中心的构成、中心任务及其基本工作过程。
远程状态监测与故障诊断系统一方面可以实现异地的监测与诊断，通过Internet及时了解设备的运行状况和相关历史信息；另一方面，通过网上专家诊断和多个专家的网上会诊可以大大提高设备故障诊断的准确率和命中率，因此有着良好的应用前景。
本文研究成果丰富了设备状态监测与故障诊断的理论与方法，在实现远程状态监测与故障诊断诊断的若干关键问题上有所创新，为今后开发高水平的系统探索了新的途径，积累了一定的研究经验。但是，远程状态监测与故障诊断是一个复杂的、涉及多个学科领域的系统科学，还有许多工作需要进一步完善。
In order to improve the solving capability and information sharing degree of condition monitoring and fault diagnosis system, and reduce the system cost at the same time, the paper applied the INTERNET technology to the remote condition monitoring and fault diagnosis system for large rotating machinery. The scheme of the system based on the INTERNET was put forward. It also discussed the principle of the system on the whole.
Network communicating technology, database technology and component-based object-oriented programming technology are the key technologies in remote condition monitoring and fault diagnosis system, which are different from traditional monitoring and diagnosis system. A deep study on the basic concepts and principles of these technologies are carried in the paper. Furthermore, the way to fuse cross-platform distributed object technology into the remote condition monitoring and fault diagnosis system was brought forward. The system based on the Browser/Server mode is achieved by the JAVA, JSP and COM technology.
The paper discussed the design and implementation of the client system in detail, including the design of the client LAN and the general module design of online monitoring system and the precision diagnosis system. The theories and methods on data acquisition are the points in the paper.
The remote diagnosis center is based upon the implementation of remote signal analysis system. General methods of signal processing are discussed. They are accomplished by JAVA, JSP programming language in J2EE environment, which can keep the balance of system and utilize resources sufficiently
Expert-diagnosis system is an important part in the remote diagnosis center. The structure, major role and working procedure are illustrated in the paper.
The remote condition monitoring and fault diagnosis system implement the monitoring and diagnosis in different area, which means the system can inspect in time both the current condition and the history information of machine. Moreover, expert-diagnosis and consultation can be held by network, which can greatly enhanced the accuracy and shooting percentage. So it has good application prospects.
The production in this paper enriched the theories and methods of condition monitoring and fault diagnosis for large rotating machinery. It achieved some innovations, which built up quite a lot experience for further development of high-level system. However, remote condition monitoring and fault diagnosis system is a complicated system science involving in several fields of knowledge. Much effort should be made to improve the system.
网络通信技术、数据库技术以及基于组件的面向对象程序设计技术是远程状态监测与故障诊断系统区别于传统的监测诊断系统的关键技术，本文对这些技术的基本概念及其原理进行了研究。深入研究了如何将跨平台的分布式对象技术——JAVA、COM应用于大型旋转机械的远程状态监测与故障诊断系统。利用JAVA、JSP和COM技术实现了基于浏览器的Browser/Server模式的远程状态监测与故障诊断系统。
本文详细讨论了系统中企业客户方的设计与实现，包括客户方局域网的设计，以及在线监测系统、精密分析系统的软件模块的构成。其中详细论述了数据采集的相关理论和方法。
对于远程诊断中心，主要研究了远程信号分析系统的设计与实现，讨论了信号分析处理常用的一些方法，并将这些方法用JAVA、JSP编程语言在J2EE环境下实现，使得系统负荷平衡，更灵活、充分地利用资源。
远程诊断中心另一个重要的功能模块是专家诊断分析处理中心。本文讨论了专家诊断分析处理中心的构成、中心任务及其基本工作过程。
远程状态监测与故障诊断系统一方面可以实现异地的监测与诊断，通过Internet及时了解设备的运行状况和相关历史信息；另一方面，通过网上专家诊断和多个专家的网上会诊可以大大提高设备故障诊断的准确率和命中率，因此有着良好的应用前景。
本文研究成果丰富了设备状态监测与故障诊断的理论与方法，在实现远程状态监测与故障诊断诊断的若干关键问题上有所创新，为今后开发高水平的系统探索了新的途径，积累了一定的研究经验。但是，远程状态监测与故障诊断是一个复杂的、涉及多个学科领域的系统科学，还有许多工作需要进一步完善。
In order to improve the solving capability and information sharing degree of condition monitoring and fault diagnosis system, and reduce the system cost at the same time, the paper applied the INTERNET technology to the remote condition monitoring and fault diagnosis system for large rotating machinery. The scheme of the system based on the INTERNET was put forward. It also discussed the principle of the system on the whole.
Network communicating technology, database technology and component-based object-oriented programming technology are the key technologies in remote condition monitoring and fault diagnosis system, which are different from traditional monitoring and diagnosis system. A deep study on the basic concepts and principles of these technologies are carried in the paper. Furthermore, the way to fuse cross-platform distributed object technology into the remote condition monitoring and fault diagnosis system was brought forward. The system based on the Browser/Server mode is achieved by the JAVA, JSP and COM technology.
The paper discussed the design and implementation of the client system in detail, including the design of the client LAN and the general module design of online monitoring system and the precision diagnosis system. The theories and methods on data acquisition are the points in the paper.
The remote diagnosis center is based upon the implementation of remote signal analysis system. General methods of signal processing are discussed. They are accomplished by JAVA, JSP programming language in J2EE environment, which can keep the balance of system and utilize resources sufficiently
Expert-diagnosis system is an important part in the remote diagnosis center. The structure, major role and working procedure are illustrated in the paper.
The remote condition monitoring and fault diagnosis system implement the monitoring and diagnosis in different area, which means the system can inspect in time both the current condition and the history information of machine. Moreover, expert-diagnosis and consultation can be held by network, which can greatly enhanced the accuracy and shooting percentage. So it has good application prospects.
The production in this paper enriched the theories and methods of condition monitoring and fault diagnosis for large rotating machinery. It achieved some innovations, which built up quite a lot experience for further development of high-level system. However, remote condition monitoring and fault diagnosis system is a complicated system science involving in several fields of knowledge. Much effort should be made to improve the system.
引文
[1] 谢志江.设备状态监测与故障诊断技术.重庆.重庆大出版社.1997.2.
[2] 韩捷，张瑞林.旋转机械故障机理及诊断技术.北京.机械工业出版社.1997.8.
[3] 郭大威，徐桢基.滑动轴承的失效分析.北京.机械工业出版社.1995.8.
[4] 徐敏，黄昭毅等.设备故障诊断手册 机械设备状态监测和故障诊断.西安.西安交通大学出版社.1998.10.
[5] 裴峻峰、杨其俊.机械故障诊断技术.北京.石油大学出版社.1997.4.
[6] 张晓彤，徐金梧等.设备的远程诊断技术研究.全国设备诊断技术学术交流会－2000论文集.2000：88~94
[7] 何岭松，王俊峰，杨叔子.基于因特网的设备故障远程协作诊断技术.中国机械工程.1999.10(3).336~338
[8] 蔡肖兵，黄昭毅，余琪.试论远程诊断与设备诊断医院的设想.中国设备管理·1995.9.76~80
[9] 钟秉林，黄仁.机械故障诊断学.北京.机械工业出版社.1997.12.
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[11] 季立明，王太勇，商同等.远程监测诊断系统实施方法研究.振动工程学报.2000.Vol.13 NO.S.249~253
[12] 陈小虎，王汉功，陈贵明等.基于网络的远程设备故障诊断系统研究.振动工程学报.2000.Vol.13 NO.S.282~285
[13] 黄磊，吴今培.基于Internet的远程机械故障诊断技术研究.振动工程学报.2000.Vol.13 NO.S.286~289
[14] Douglas E. Comer . Internetworking With TCP/IP Vol. I: Principles, Protocols, and Architecture (Third Edition) . PRENTICE HALL PUBLISH COMPANY . 1998.4.
[15] 萨师煊，王珊.数据库系统概论.第三版.北京.高等教育出版社.2000.2.
[16] 美David J. Kruglinski.潘爱民，王国印译.Visual C++技术内幕.北京.清华大学出版社.1999.1.
[17] 美Ben Ezzell、Jim Blaney.郝启堂，曹康译.Windows NT4/Windows 95高级开发指南.北京.电子工业出版社.1997
[18] 胡俭，丘宗明，游建设.精通Visual C++ for Windows 95/NT.北京.电子工业出版社.1997.5.
[19] 美Kate Gregery.前导工作室译.Visual C++6开发使用手册.北京.机械工业出版社.1999.2.
[20] Andrew S. Tanenbaum.熊桂喜，王小虎译.计算机网络.第三版.北京.清华大学出版社.1998.7.
[21]Chassaing R. Horning. D.W. Digital Signal Processing with Fixed and Floating-Point Processors. CoED.USA.Volume 1.Number 1.1991.3. pages 1~4
[22] Jonas Berge.Fieldbus Control System. Advances in Instrumentation and Control. Vol.51.1996
[23]Technical Overview: Fieldbus Foundation. 1996
[24]Gerald Schickhuber，Oliver McCarthy. Distributed fieldbus and control network systems. Computing ＆ Control Engineering Journal.1997.8.
[25]Defatta.David J., Joseph G. Lucas, William S. Hodgkiss . Digital Signal Processing : A System Design Approach . New York . Joho Wiley . 1988
[26] 美Michael J. Young.丘仲潘译.Visual C++6从入门到精通.北京.电子工业出版社.1999.1.
[27] 李博轩.Visual C++ 网络及Internet开发指南.北京.清华大学出版社.2000.7.
[28]Essig , D.C. Erskine , E.Caudel , S.Magar . A Second Generation Digital Signal Processor . IEEE Journal of Solid-State Circuits . USA . Volume SC-21 . Number 1 . pages 86~91 . 1986.2.
[29]Frantz , G.K. Lin , J. Reimer , J. Bradley . The Texas Instruments TMS320C25 Digital Signal Microcomputer . IEEE Microelectronics . USA . Volume 6 . Number 6 . pages 10~28 . 1986.12.
[30] 胡广书.数字信号处理——理论、算法与实现.北京.清华大学出版社.1997.11.
[31] 廖若雪.JSP高级编程.北京.机械工业出版社.2000.3.
[32] 李巍.JSP编程入门与应用实例.北京.清华大学出版社.2001.1.
[33]Jackson , Leland B. . Digital Filters and Signal Processing . Hingham . MA: Kiuwer Academic Publishers . 1986
[34]Lin K. , G. Frantz , R. Simar , Jr. . The TMS320 Family of Digital Signal Processors . Proceedings of the IEEE . USA . Volume 75 . Number 9 . pages 1143~1159 . 1987.9.
[35]Texas Instruments . Digital Signal Processing Applications with the TMS320 Family . 1986 . Englewood Cliffs . NJ . Prentice Hall Inc. . 1987
[36]Ahmed I. , S. Lindquist . Digital Signal Processors : Simplifying High-Performance Control . Machine Design . 1987.9
[37]Lin K. . Trends of Digital Signal Processing in Automotive . International Congress on Transportation Electronic (CONVERGENCE 8) , 1988.10.
[38] 张金玉等. 大型回转机械智能综合诊断处理中心的研究.中国机械工程.1999.10(4).15~20
[39] 黎洪生，何岭松，史铁林，杨叔子，李知践.基于B/S的远程故障诊断专家系统研究.武汉工业大学学报.Vol.21 No.4 1999.8.35~38
[2] 韩捷，张瑞林.旋转机械故障机理及诊断技术.北京.机械工业出版社.1997.8.
[3] 郭大威，徐桢基.滑动轴承的失效分析.北京.机械工业出版社.1995.8.
[4] 徐敏，黄昭毅等.设备故障诊断手册 机械设备状态监测和故障诊断.西安.西安交通大学出版社.1998.10.
[5] 裴峻峰、杨其俊.机械故障诊断技术.北京.石油大学出版社.1997.4.
[6] 张晓彤，徐金梧等.设备的远程诊断技术研究.全国设备诊断技术学术交流会－2000论文集.2000：88~94
[7] 何岭松，王俊峰，杨叔子.基于因特网的设备故障远程协作诊断技术.中国机械工程.1999.10(3).336~338
[8] 蔡肖兵，黄昭毅，余琪.试论远程诊断与设备诊断医院的设想.中国设备管理·1995.9.76~80
[9] 钟秉林，黄仁.机械故障诊断学.北京.机械工业出版社.1997.12.
[10] 丁玉兰，石来德.机械设备故障诊断技术.上海.上海科学技术文献出版社.1995.2.
[11] 季立明，王太勇，商同等.远程监测诊断系统实施方法研究.振动工程学报.2000.Vol.13 NO.S.249~253
[12] 陈小虎，王汉功，陈贵明等.基于网络的远程设备故障诊断系统研究.振动工程学报.2000.Vol.13 NO.S.282~285
[13] 黄磊，吴今培.基于Internet的远程机械故障诊断技术研究.振动工程学报.2000.Vol.13 NO.S.286~289
[14] Douglas E. Comer . Internetworking With TCP/IP Vol. I: Principles, Protocols, and Architecture (Third Edition) . PRENTICE HALL PUBLISH COMPANY . 1998.4.
[15] 萨师煊，王珊.数据库系统概论.第三版.北京.高等教育出版社.2000.2.
[16] 美David J. Kruglinski.潘爱民，王国印译.Visual C++技术内幕.北京.清华大学出版社.1999.1.
[17] 美Ben Ezzell、Jim Blaney.郝启堂，曹康译.Windows NT4/Windows 95高级开发指南.北京.电子工业出版社.1997
[18] 胡俭，丘宗明，游建设.精通Visual C++ for Windows 95/NT.北京.电子工业出版社.1997.5.
[19] 美Kate Gregery.前导工作室译.Visual C++6开发使用手册.北京.机械工业出版社.1999.2.
[20] Andrew S. Tanenbaum.熊桂喜，王小虎译.计算机网络.第三版.北京.清华大学出版社.1998.7.
[21]Chassaing R. Horning. D.W. Digital Signal Processing with Fixed and Floating-Point Processors. CoED.USA.Volume 1.Number 1.1991.3. pages 1~4
[22] Jonas Berge.Fieldbus Control System. Advances in Instrumentation and Control. Vol.51.1996
[23]Technical Overview: Fieldbus Foundation. 1996
[24]Gerald Schickhuber，Oliver McCarthy. Distributed fieldbus and control network systems. Computing ＆ Control Engineering Journal.1997.8.
[25]Defatta.David J., Joseph G. Lucas, William S. Hodgkiss . Digital Signal Processing : A System Design Approach . New York . Joho Wiley . 1988
[26] 美Michael J. Young.丘仲潘译.Visual C++6从入门到精通.北京.电子工业出版社.1999.1.
[27] 李博轩.Visual C++ 网络及Internet开发指南.北京.清华大学出版社.2000.7.
[28]Essig , D.C. Erskine , E.Caudel , S.Magar . A Second Generation Digital Signal Processor . IEEE Journal of Solid-State Circuits . USA . Volume SC-21 . Number 1 . pages 86~91 . 1986.2.
[29]Frantz , G.K. Lin , J. Reimer , J. Bradley . The Texas Instruments TMS320C25 Digital Signal Microcomputer . IEEE Microelectronics . USA . Volume 6 . Number 6 . pages 10~28 . 1986.12.
[30] 胡广书.数字信号处理——理论、算法与实现.北京.清华大学出版社.1997.11.
[31] 廖若雪.JSP高级编程.北京.机械工业出版社.2000.3.
[32] 李巍.JSP编程入门与应用实例.北京.清华大学出版社.2001.1.
[33]Jackson , Leland B. . Digital Filters and Signal Processing . Hingham . MA: Kiuwer Academic Publishers . 1986
[34]Lin K. , G. Frantz , R. Simar , Jr. . The TMS320 Family of Digital Signal Processors . Proceedings of the IEEE . USA . Volume 75 . Number 9 . pages 1143~1159 . 1987.9.
[35]Texas Instruments . Digital Signal Processing Applications with the TMS320 Family . 1986 . Englewood Cliffs . NJ . Prentice Hall Inc. . 1987
[36]Ahmed I. , S. Lindquist . Digital Signal Processors : Simplifying High-Performance Control . Machine Design . 1987.9
[37]Lin K. . Trends of Digital Signal Processing in Automotive . International Congress on Transportation Electronic (CONVERGENCE 8) , 1988.10.
[38] 张金玉等. 大型回转机械智能综合诊断处理中心的研究.中国机械工程.1999.10(4).15~20
[39] 黎洪生，何岭松，史铁林，杨叔子，李知践.基于B/S的远程故障诊断专家系统研究.武汉工业大学学报.Vol.21 No.4 1999.8.35~38