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水电机组振动故障的信息融合诊断与仿真研究
引用本文:赵道利,马薇,梁武科,罗兴锜.水电机组振动故障的信息融合诊断与仿真研究[J].中国电机工程学报,2005,25(20):0-142.
作者姓名:赵道利  马薇  梁武科  罗兴锜
作者单位:西安理工大学,陕西省,西安市,710048
基金项目:国家自然科学基金重点项目(90410019).Project Supported by National Natural Science Foundation of China(90410019).
摘    要:引起水电机组振动的原因复杂,目前主要是通过转速试验、负荷试验和励磁试验等试验手段来判别机组的振动故障.该文将多传感器信息融合方法引入水电机组振动故障诊断中,通过分析机组振动的频率特征,建立了振动故障的融合诊断识别框架,并模拟机组各部位的振动信号,采用小波分析和傅立叶变换进行预处理,提取信号的子带能量特征,应用信息融合方法进行了仿真诊断.结果表明,基于信息融合的故障诊断能充分利用机组各部位的信息,可以减少诊断的不确定性,从而有效地提高诊断的可靠性.

关 键 词:水电机组  振动  故障诊断  信息融合  仿真
文章编号:0258-8013(2005)20-0137-06
收稿时间:2005-09-21
修稿时间:2005年9月21日

ON DATA FUSION FAULT DIAGNOSIS AND SIMULATION OF HYDROELECTRIC UNITS VIBRATION
ZHAO Dao-li,Ma Wei,LIANG Wu-ke,LUO Xing-qi.ON DATA FUSION FAULT DIAGNOSIS AND SIMULATION OF HYDROELECTRIC UNITS VIBRATION[J].Proceedings of the CSEE,2005,25(20):0-142.
Authors:ZHAO Dao-li  Ma Wei  LIANG Wu-ke  LUO Xing-qi
Abstract:Due to complexity of hydroelectric units vibration reasons, vibration fault is distinguished mainly by means of rotate speed experiment, load experiment and excitation experiment et al at present. A multi-sensor data fusion method is introduced into hydroelectric units vibration fault diagnosis in this paper. By analyzing frequency characteristic, the identify frame for fusion diagnose of hydroelectric sets vibration fault is constructed, several position vibration signals of hydroelectric units are simulated, and their sub-band energy features are extracted with Wavelets and Fourier theory, then simulation diagnosis is made using data fusion method. The result shows that fault diagnosis based on multi-sensor data fusion can make the most of the information of multi-sensor in hydroelectric units positions, decrease diagnosis uncertainty, and the reliability of diagnosis can be improved effectively.
Keywords:Hydroelectric units  Vibration  Fault diagnosis  Multi-sensor data fusion  Simulation
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