Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal

Author:

Niu Gang,Widodo Achmad,Son Jong-Duk,Yang Bo-Suk,Hwang Don-Ha,Kang Dong-Sik

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference16 articles.

1. Engine fault diagnosis based on multi-sensor information fusion using Dempster–Shafer evidence theory;Basir;Information Fusion,2007

2. Introduction to wavelets and wavelet transforms;Burrus,1998

3. Fault features of large rotating machinery and diagnosis using sensor fusion;Chen;Mechanical Systems and Signal Processing,1995

4. An introduction to support vector machines and other kernel-based learning methods;Cristianini,2000

5. Douglas, H., & Pillay, P. (2005). The impact of wavelet selection on transient motor current signature analysis. In Proceedings of IEEE international conference on electrical machine and drives. pp. 80–85.

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