An application to transient current signal based induction motor fault diagnosis of Fourier–Bessel expansion and simplified fuzzy ARTMAP

作者：

Highlights：

• Propose a novel data driven-based framework for induction motor fault diagnosis.

• Combine Fourier–Bessel expansion with GDA and SFAM.

• Verify the proposed framework with experimental data.

• Present a comparative study of diagnosis results.

• Demonstrate the improvement classification accuracy.

摘要

•Propose a novel data driven-based framework for induction motor fault diagnosis.•Combine Fourier–Bessel expansion with GDA and SFAM.•Verify the proposed framework with experimental data.•Present a comparative study of diagnosis results.•Demonstrate the improvement classification accuracy.

论文关键词：Fault diagnosis,Transient current signal,Induction motor,Fourier–Bessel expansion,Simplified fuzzy ARTMAP

论文评审过程：Available online 6 April 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.040