期刊文献+

面向机电系统状态监测与故障诊断的现代技术 被引量:30

Contemporary Techniques of Condition Monitoring and Fault Diagnosis for Mechano-Electrical Systems
下载PDF
导出
摘要 以现代技术为主线综述了机电系统运行状态监测与故障诊断技术的进展,阐述了机电系统运行状态监测与故障诊断方法及系统的发展;从技术流程的角度归纳了信号采集技术、信号分析与处理方法、故障诊断方法和机电系统状态趋势预测的先进技术;展望了基于网络的异地设备运行状态的远程监测与诊断技术以及基于虚拟仪器的监测与诊断仪器系统的新兴技术发展前景. The development of working condition monitoring and fault diagnosis techniques for mechano-electrical systems based on contemporary techniques is summarized. Methods of monitoring and diagnosis are described. Signal acquisition techniques, signal analysis and processing methods, techniques for fault diagnosis and mechano-electrical system condition trend prediction are summarized. Progressive techniques of remote monitoring and diagnosis based on internet for the inspection of working condition of equipments located at separate places, as well as techniques of monitoring and diagnosis instrument systems based on virtual instrument, are given their prospects.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2004年第9期751-756,共6页 Transactions of Beijing Institute of Technology
基金 国家自然科学基金资助项目(50375017) 北京市重点实验室资助课题(030314)
关键词 机电系统 状态监测 故障诊断 mechano-electrical system condition monitoring fault diagnosis
  • 相关文献

参考文献18

  • 1Xu Xiaoli, Han Qiushi, Xu Baojie, et al. A study of the on-line trend predicting technology to the conditions of mechanical equipment[A]. Shi Zhiping. Proceedings of the First International Conference on Mechanical Engineering[C]. Shanghai: International 被引量:1
  • 2Wang K C. Update of an early warning fault detection method using artificial intelligence techniques[J]. IEE Colloquium(Digest), 1997, 50(5):1-5. 被引量:1
  • 3Propes N, Vachtsevanos G. Fuzzy petri net based mode identification algorithm for fault diagnosis of complex systems[A]. Willett P K. System Diagnosis and Prognosis: Security and Condition Monitoring Issues Ⅲ[C]. Orlando, Florida: The International Socie 被引量:1
  • 4Khiripet N. An architecture for intelligent time series prediction with causal information[D]. Georgia, USA: Georgia Institute of Technology, 2001. 被引量:1
  • 5Brenner M J. Non-stationary dynamics data analysis with wavelet-STD filtering[J]. Mechanical Systems and Signal Processing, 2003, 17(4): 765-786. 被引量:1
  • 6Jakob Angeby. Estimation signal parameter using the nonlinear instantaneous least squares approach[J]. IEEE Transaction on Signal Processing, 2000,48(10): 2721-2732. 被引量:1
  • 7黄昭毅.设备诊断现场实用技术丛书[M].北京:机械工业出版社,2002.. 被引量:2
  • 8虞和济等编著..设备故障诊断工程[M].北京:冶金工业出版社,2001:1297.
  • 9钟秉林,黄仁主编..机械故障诊断学[M].北京:机械工业出版社,2002:236.
  • 10盛兆顺,尹琦岭主编..设备状态监测与故障诊断技术及应用[M].北京:化学工业出版社,2003:394.

共引文献18

同被引文献157

引证文献30

二级引证文献93

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部