沈阳航空航天大学学报Issue(5)：12-16,5.DOI:10.3969/j.issn.2095-1248.2014.05.003
基于改进小波变换和包络分析的滚动轴承故障诊断
Fault diagnosis of rolling bearing based on improved wavelet transform and envelope analysis
张强 1沙云东 1梁先芽 1赵奉同 1栾孝驰1
作者信息
- 1. 沈阳航空航天大学 辽宁省航空推进系统先进测试技术重点实验室，沈阳 110136
- 折叠
摘要
Abstract
Fault characteristic frequency components of rolling bearing vibration signals were extracted by the method of combining an improved wavelet decomposition and reconstruction algorithm and envelope a-nalysis. The improved wavelet decomposition and reconstruction approach avoids the defects of Mallat algo-rithm′s confusion in frequencies. Extracting the rolling bearing fault characteristic frequencies are more accu-rate. Analysis of normal rolling bearing and inner ring and the outer ring failure rolling bearing vibration sig-nals indicate that the method can effectively diagnose the fault of rolling bearings. Furthermore,using this method succeeded in diagnosing the faults of aero-engine main bearings.关键词
滚动轴承/故障诊断/小波变换/包络分析Key words
rolling bearing/faults diagnosis/wavelet transform/envelope analysis分类
机械制造引用本文复制引用
张强,沙云东,梁先芽,赵奉同,栾孝驰..基于改进小波变换和包络分析的滚动轴承故障诊断[J].沈阳航空航天大学学报,2014,(5):12-16,5.
