Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method

作者：

Highlights：

• We used wavelet packet coefficients to extract features from faulty bearings.

• We proposed an Improved Range Overlap's method for feature selection.

• The reduced feature set is well-suited to build the fuzzy expert system.

• Findings on localized and distributed bearing faults.

摘要

•We used wavelet packet coefficients to extract features from faulty bearings.•We proposed an Improved Range Overlap's method for feature selection.•The reduced feature set is well-suited to build the fuzzy expert system.•Findings on localized and distributed bearing faults.

论文关键词：Bearing faults,WPT,Improved Range Overlaps method,Fuzzy expert systems

论文评审过程：Received 26 September 2017, Revised 20 April 2018, Accepted 22 April 2018, Available online 25 April 2018, Version of Record 11 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.025