Wavelet Analysis of Fault Diagnosis Technology

Abstract:

In recent years, the development of computer technology, signal processing, artificial intelligence, pattern recognition technology; and promote the continuous development of fault diagnosis technology, especially knowledge-based fault diagnosis method has been widely studied. Which, along with the increasingly improved neural network technology, the fault diagnosis method based on neural network has been widespread concern. Since one of the main steps of fault diagnosis is signal processing, while wavelet analysis is an effective tool to process signals and wavelet function has many good characteristics, so the combination of wavelet and neural network, so called wavelet neural network, has become a focus in fault diagnosis field recently.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 2402-2405
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.2402
• Online since: September 2014
• Authors: Jia Tian*
• Keywords: Fault Diagnosis, WNN

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