Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

作者：

Highlights：

• IMDE is proposed to extract the multi-scale fault feature.

• mRMR method is performed on the candidate feature for feature selection.

• A new fault diagnosis strategy based on IMDE and mRMR is formulated.

• The proposed method is validated using the experimental examples.

摘要

•IMDE is proposed to extract the multi-scale fault feature.•mRMR method is performed on the candidate feature for feature selection.•A new fault diagnosis strategy based on IMDE and mRMR is formulated.•The proposed method is validated using the experimental examples.

论文关键词：Improved multiscale dispersion entropy,mRMR,Rotating machinery,Fault diagnosis

论文评审过程：Received 9 February 2018, Revised 28 August 2018, Accepted 5 September 2018, Available online 14 September 2018, Version of Record 21 November 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.09.004