期刊文献+

基于信息融合的感应电动机定子故障检测方法研究

Motor Stator Fault Diagnosis Method Based on Fusion Technology
下载PDF
导出
摘要 本文将信息融合的思想应用到感应电动机定子故障诊断中,将多种检测技术得到的信息进行综合,避免了依靠单一信号进行诊断的结果不可靠问题,提高了故障诊断的准确性。并通过对定子短路故障的实验研究,证实了该方法的可行性。 This paper puts fusion technology into motor stator fault diagnosis , that it combines multi information to diagnose , and avoid uncertainty of diagnosis based on single signal , and increase the accuracy of fault diagnosis. With an experiment of stator short circuit, it is proved feasible.
出处 《船电技术》 2007年第1期20-22,共3页 Marine Electric & Electronic Engineering
关键词 信息融合 故障诊断 information fusion fault diagnosis
  • 相关文献

参考文献6

  • 1侯新国,夏立,吴正国.电机故障诊断中的信息融合利用问题研究[J].海军工程大学学报,2004,16(3):78-82. 被引量:7
  • 2何有 王国宏 陆大n等著.多传感器信息融合及应用[M].北京:电子工业出版社,2000..
  • 3Albas E , Arikan T , Kuzkaya C . In-process motor testing results using model based fault detection approach Electrical Insulation Conference and Electrical Manufacturing & Coil Winding Conference,2001.
  • 4郑崇伟,韦巍.基于小波分析的发电机匝间短路故障的智能诊断研究[J].浙江大学学报(自然科学版),1998,32(4):431-346. 被引量:15
  • 5Arkan M, Perovic D K, Unsworth P. Online stator faul tdiagnosis in induction motors. Electric Power Applications. IEE Proceedings 2001,148(6):537-547.
  • 6Kliman G B , Premerlani W J , A new approach to on-line turn fault detection in ac motors . IEEE-IAS .Annual meeting, 1996 ,Vol. 1,687-693.

二级参考文献12

  • 1[1]Kliman G B, Sten J. Induction motor fault detection via passive current monitoring [A]. Proc. Int. Conf. Electrical Machines [C]. Cambridge, MA.,1990.
  • 2[2]Schoen R R, Habetler T G, Kamran F, et al. Motor bearing damage detection using stator current monitoring [J]. IEEE Trans. Ind. Applicat.,1995,31(12):1274-1279.
  • 3[3]Jafar Milimonfared,Homayoun Meshgin Kelk. A novel approach for broken-rotor-bar detection in cage induction motors [J]. IEEE Trans. on Industry Applications,1999,35(5):1000-1005.
  • 4[4]Thomson W T, Rankin D, Dorrell D G. On-line current monitoring to diagnose airgap eccentricity in large induction motors-industrial case histories verify the predictions [J]. IEEE Transaction on Energy Conversion,1999,14(4):1372-1377.
  • 5[5]Thomson W T. On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure [A]. IEEE IEMDC′01 Conf., Proc. Seattle [C]. 2001:891-898.
  • 6[6]Seker S. Determination of air-gap eccentricity in electric motors using coherence analysis [J]. IEEE Power Engineering Review, 2000,7:48-50.
  • 7[7]Lou R C, Kay M G. Multisensor integration and fusion in intelligent systems [J]. IEEE Trans.on Systems, Man and Cybernetics,1999,19(5):901-931.
  • 8[9]Dasarathy B V. Sensor fusion potential exploitation innovative architecture and illustrative application [A]. Proceedings of the IEEE-IAS Annual Conf., Proc., New Orleans [C].1997,85(1):29-36.
  • 9韦巍,东南大学学报,1997年,27卷,5期
  • 10高景德,交流电机及其系统的分析,1993年

共引文献22

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