动态故障源数估计的自适应盲源分离方法  

Method of Adaptive Blind Source Separation Based on Dynamic Fault Source Number Estimation

作　　者：阳小燕[1] 唐一科[1] 周雄[1] 

机构地区：[1]重庆科技学院机械与动力工程学院,重庆401331

出　　处：《振动．测试与诊断》2013年第2期290-293,342,共4页Journal of Vibration,Measurement & Diagnosis

基　　金：重庆市自然科学基金资助项目(cstc2011jjA1139);重庆科技学院博士教授科研基金资助项目(CK2010B11)

摘　　要：在大型旋转机械故障诊断中,由于故障源数动态变化,无法准确估计源数并有效分离出故障源。针对这一问题,采用拓展四阶累积量矩阵估计动态故障源数,并根据源信号数与传感器数的关系,选择相应的盲源分离算法实现自适应盲源分离。实验结果表明,该源数估计算法能有效地估计出包括欠定情况下的动态故障源数,自适应盲源分离算法能有效地实现正定、超定与欠定盲源分离的故障诊断。In large rotating machinery fault diagnosis,the number of fault sources is varied,so it is difficult to estimate the source number accurately and separate the fault sources effectively.Exhibition four-order cumulant matrix is adopted to estimate the source number of machinary fault diagnosis and according to the relation of source number and sensor number,corresponding source separation algorithm is chosen to separate blind source correctly.The experiment indicates that the estimating algorithm can estimate out sensor number effectively including under-determined,the algorithm of adaptive blind source separation can realize the fault diagnosis effectively including over-determined,under-determined and determined.

关 键 词：源数估计 盲源分离 故障诊断 旋转机械 

分 类 号：TP301[自动化与计算机技术—计算机系统结构] TH165.3[自动化与计算机技术—计算机科学与技术]