中北大学学报（自然科学版）2017，Vol.38Issue(2)：191-195,201,6.DOI:10.3969/j.issn.1673-3193.2017.02.017
小波和余弦变换的电机轴承故障特征参数构造
Feature Parameter Structure of Motor Bearing Fault Based on Wavelet and Cosine Transform
摘要
Abstract
For the defects in application of the traditional characteristic parameters method of fault diagnosis,a new method based on the wavelet and cosine transform of characteristic parameter extraction was proposed to diagnose the bearing fault of induction motors.According to characteristics of vibration signals of the induction motor bearing,appropriate wavelet filter and information cost function were selected at first,and the vibration signals were decomposed into different frequency-domain subspaces.Then,the characteristic parameters of the bearing fault of induction motors were constructed by using the frequency domain energy aggregation of the discrete cosine transform,and the actual induction motoractual vibration signals of the induction motor bearing under normal,failure of inner,outer ring and ball bearing fault were analyzed.The analysis results verify that the constructed characteristic parameters can effectively achieve early detection and diagnosis of faults.At last,a comparison between the traditional characteristic parameters method and the proposed method was made,which states that the new method has better early diagnosis effects of bearing fault of induction motors.关键词
小波包/离散余弦变换/故障诊断/电机/轴承Key words
wavelet packet/discrete cosine transform/fault diagnosis/motor/bearing分类
信息技术与安全科学引用本文复制引用
原菊梅..小波和余弦变换的电机轴承故障特征参数构造[J].中北大学学报（自然科学版）,2017,38(2):191-195,201,6.基金项目
山西省自然科学基金资助项目(2013011018-2) （2013011018-2）
