Wavelet Selection in Fault Diagnosis of Wavelet Transform

摘要：

　　Wavelet analysis is a kind of time-frequency analysis method,It is particularly effective to analyze signal singularity,singular point location and size of the singular degree,fault characteristic signal can be effectively separated,and it can be used to make fault analysis and diagnosis.And choosing different wavelet analysis on fault make different results.Based on the induction motor stator current for the simulation model,the paper discusses the signal with different wavelet denoising,except the singularity detection and fault diagnosis.And analyzes the importance of fault mother wavelet choicing.

关键词： Fault diagnosis Wavelet simulation

作者: Li Shue Lv feng Fu Chao

作者单位: Department of Electronics,Hebei Normal University,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 2127-2130

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）