基于多小波熵灰色理论的故障诊断应用研究  

Research of Fault Diagnosis Based on Grey Theory of Multi-wavelet Entropy

作　　者：刘泽华[1] 高亚奎[1] 

机构地区：[1]中航工业第一飞机设计研究院,陕西西安710089

出　　处：《计算机测量与控制》2011年第6期1318-1320,1324,共4页Computer Measurement &Control

基　　金：航空科学基金项目资助(2008ZC03005)

摘　　要：为了有效地对其进行故障诊断,提出了一种基于多小波熵特征提取与灰色理论相结合的故障分类方法,小波熵测度由于结合了小波变换和信息熵理论的优势,能快速准确地提取电流信号故障特征,但由于设备故障的不确定性和多样性,依靠单一的小波熵测度诊断故障可能出现诊断困难或诊断失真等问题,对多种小波熵进行了特征提取,并结合灰色理论进行故障关联,以飞机液压试验台上采集的压力信号进行故障分类,试验结果表明该方法能提高对故障诊断结果的支持度及故障诊断的准确性和实时性,为设备故障诊断提供了一种可行的新方法。To solve the problem of fault diagnosis for equipments, a fault classification approach based on combining multi--wavelet entropy feature extraction and grey theory is proposed. Wavelet entropy can pick up the fault characteristic quickly and exactly because it com- bines together the advantages of Wavelet Transform and Shannon Entropy~ but fault diagnosis based only on single wavelet entropy may cause difficult or inaccurate results because of the uncertainty and diversity of faults. Therefore, several different wavelet entropies are ex- tracted all of the wavelet entropies are related by the grey theory. The results prove that this diagnosis method can increase support strength and can improve the accuracy and the real--time performance of fault diagnosis in aircraft hydraulic test--bed, so it is a feasible method for fault diagnosis in quantification.

关 键 词：多小波熵 特征提取 灰色理论 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]