计量学报Issue(3)：289-294,6.DOI:10.3969/j.issn.1000-1158.2015.03.14
基于盲源分离和 AR 谱估计的旋转机械故障诊断方法
The Fault Diagnosis for Rotating Machinery Based on BSS and AR Spectrum Estimation
摘要
Abstract
The accurate AR model can reveal the changing state characteristics inherent in the signal,however the AR model is sensitive to the changes in the state of the system,and the multiple of dynamic source signal coupling is bound to affect the estimated results. The method of blind source separation is reconstruct mechanical vibration source signals. Then the non-stationary fault signal is decomposed into several stationary signals which suit to establish AR model. Finally,the AR model of stationary intrinsic mode function is constructed to extract the characteristics of fault vibration signal. The results of simulation and experiment are presented to verify the theory analysis.关键词
计量学/盲源分离/AR谱/旋转机械/故障诊断Key words
Metrology/Blind source separation/Auto regressive model spectrum/Rotating machine/Fault diagnosis分类
通用工业技术引用本文复制引用
孟宗,梁智..基于盲源分离和 AR 谱估计的旋转机械故障诊断方法[J].计量学报,2015,(3):289-294,6.基金项目
国家自然科学基金（51105323）；河北省自然科学基金 （）
