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电机故障诊断中的信息融合利用问题研究
引用本文: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.
作者姓名:侯新国  夏立  吴正国
作者单位:海军工程大学,电气工程系,湖北,武汉,430033
摘    要:对电机故障诊断中的可用信息进行了分类,并针对单一诊断技术对信息利用不足的问题提出利用信息融合的理论,指出了基于信息融合的电机故障诊断技术应解决的问题;给出了基于信息融合的电机故障诊断的基本框架;最后概述了诊断中信息融合利用的方法。结果表明,充分利用电机运行中的各种信息,采用基于信息融合技术的故障诊断方法可以提高故障诊断的准确性和可靠性。

关 键 词:故障诊断  信息融合  神经网络
文章编号:1009-3486(2004)03-0078-05
修稿时间:2003年11月22

Utilizing information fusion in fault diagnosis of electrical machines
HOU Xin-guo,XIA Li,WU Zheng-guo.Utilizing information fusion in fault diagnosis of electrical machines[J].Journal of Naval University of Engineering,2004,16(3):78-82.
Authors:HOU Xin-guo  XIA Li  WU Zheng-guo
Abstract:The useful information in the fault diagnosis of the electrical machine is classified. Because the single diagnosis technique cannot make good use of the information, the idea of information fusion is presented, and the problem in the fault diagnosis of the electrical machine is pointed out. The basic frame for the fault diagnosis of the electrical machine based on the information fusion is also given. The method for the information fusion is finally discussed. The results show that the fault diagnosis method based on information fusion technique can improve the accuracy and reliability of the fault diagnosis when all kinds of electrical machine operating information are utilized.
Keywords:fault diagnosis: information fusion  neural network
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