ZHU Gao-zhong. Research on converter recessive fault diagnosis based on information fusion technology[J]. Journal of Light Industry, 2011, 26(4): 109-112. doi: 10.3969/j.issn.1004-1478.2011.04.026
Citation:
ZHU Gao-zhong. Research on converter recessive fault diagnosis based on information fusion technology[J]. Journal of Light Industry, 2011, 26(4): 109-112.
doi:
10.3969/j.issn.1004-1478.2011.04.026
Research on converter recessive fault diagnosis based on information fusion technology
-
Received Date:
2011-03-01
Available Online:
2011-07-15
-
Abstract
To solve the problem that by using common fault diagnosis method of motor in frequency-conversion speed-regulation system it is difficult to judge fault types,the method of fault diagonisis based on D-S evidence theory is used,which can reduce uncertainty in fault diagnosis.The fault of converter in the asymmetrical condition is identified from analysis result of three-phase voltage sensors and three-phase current sensors.The fault of the induction motors is identified by the fusion result of three phase stator current.Then the D-S evidence theory is used to fuse and calculate fault features data so as to identify fault.The experiment of diagnosis test showed the method improves precision of fault diagnosis of motor and can meet real-time requirement of diagnosis.
-
-
References
-
[1]
王新.交交变频调速系统的新型控制方法及其故障诊断技术的研究[D].上海:华东理工大学,2005.
-
[2]
Pan Quan,Zhang Lei. Two denoising methods by wavelet transform[J]. IEEE Trans on SP, 1999,47:3421.
-
[3]
Messer Sheila R, Agzarian John, Abbott Derek. Optimal wavelet denoising for phonocardiograms[J]. Microelec tronics Journal,2001,32(12):931.
-
[4]
Lin J. Feature extraction of machine sound using wavelet and its application in fault diagnosis[J]. NDT&E Interna tional,2001,34(1):25.
-
[5]
孙玉胜,郑彩玲.基于D-S证据理论的机器人多传感器信息融合方法研究[J].郑州轻工业学院学报:自然科学版,2011,26(2):60.
-
[6]
刘振兴,尹项根,张哲.基于瞬时功率信号频谱分析的鼠笼式异步电动机转子故障在线诊断方法[J].中国电动机工程学报,2003(10):150.
-
[7]
Ren Zhen, He Jianjun. Compression and reconstruction faults for faults signals of electric machines based on wavelet packets[J]. Proceedings of the CSEE, 2001,21(1):25.
-
[8]
Gao H Y, Bruce A G. Wave shrink with firm shrinkage[J]. Statist,1997,7(4):855.
-
Proportional views
-
-