机械制造与自动化2017，Vol.46Issue(4)：186-188,194,4.DOI:10.19344/j.cnki.issn1671-5276.2017.04.052
基于sVD-小波熵融合的电机系统故障分离方法
Fault Isolation Method of Motor System Based on SVD & Wavelet Entropy
摘要
Abstract
To restrain the effect of power frequency interference on current signals, this paper studies the characteristics of singular value decomposition(SVD)and wavelet entropy and proposes a high-precision separation method of faults, in which the strong denoising capability of SVD is used to effectively eliminate the complex nose signal and the method of wavelet entropy is used to separate the fault current signals. The results show that the method can be used to effectively eliminate the power frequency interference and detect the weak signal.关键词
机电系统/小波熵/电流信号/奇异值分解/故障诊断Key words
motor system/wavelet entropy/current signals/singular value decomposition/fault diagnosis分类
信息技术与安全科学引用本文复制引用
雷小亚,李贵子,王季,柴世文..基于sVD-小波熵融合的电机系统故障分离方法[J].机械制造与自动化,2017,46(4):186-188,194,4.基金项目
甘肃省青年科技基金计划(1506RJYA139) （1506RJYA139）
