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基于ISVD和小波降噪理论的轴承故障诊断
引用本文:吴虎胜,吕建新,吴庐山,敖云辉,朱玉荣. 基于ISVD和小波降噪理论的轴承故障诊断[J]. 轴承, 2011, 0(2): 48-51
作者姓名:吴虎胜  吕建新  吴庐山  敖云辉  朱玉荣
作者单位:1. 武警工程学院,西安,710086
2. 河南农业大学,郑州,450002
摘    要:针对滚动轴承振动信号的非平稳等复杂特点,在分析迭代奇异值降噪和小波阈值降噪的原理和特点的基础上,将两者理论结合应用于轴承振动信号降噪中。试验证明,结合降噪法能有效剔除噪声,并可较好地保留冲击信号中的尖峰和突变部分,最后通过计算降噪后信号的样本熵可准确地实现轴承的故障诊断。

关 键 词:滚动轴承  故障诊断  迭代奇异值分解  小波  降噪

Bearing Fault Diagnosis Based on ISVD and Wavelet De-noising Theory
WU Hu-sheng,L Jian-xin,WU Lu-shan,AO Yun-hui,ZHU Yu-rong. Bearing Fault Diagnosis Based on ISVD and Wavelet De-noising Theory[J]. Bearing, 2011, 0(2): 48-51
Authors:WU Hu-sheng  L Jian-xin  WU Lu-shan  AO Yun-hui  ZHU Yu-rong
Affiliation:WU Hu-sheng,L(U) Jian-xin,WU Lu-shan,AO Yun-hui,ZHU Yu-rong
Abstract:According to the non-stationary characteristics of the vibration signals taken from the rolling bearing,a combinative de-noising method is applied in dealing with the signals based on analysis of the principles and features of interative singular value decomposition(ISVD) de-noising and wavelet de-noising.The experiment shows that the new method is able to reduce the noise effectively and make the characteristics of sharp and jumping in the transient impulse signals more visible.And the fault diagnosis for ...
Keywords:rolling bearing  fault diagnosis  interative singular value decomposition  wavelet  de-noising  
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