Wavelet Selection in Fault Diagnosis of Wavelet Transform

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2127-2130
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2127
• Online since: November 2012
• Authors: Shu’e Li, Feng Lv, Chao Fu
• Keywords: Fault Diagnosis, Simulation, Wavelet

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