An approach to fault diagnosis with online detection of novel faults using fuzzy clustering tools

作者：

Highlights：

• An approach to fault diagnosis with online detection of novel faults is proposed.

• The approach includes a mechanism for automatic learning.

• Known tools of fuzzy clustering are conveniently used with excellent results.

摘要

•An approach to fault diagnosis with online detection of novel faults is proposed.•The approach includes a mechanism for automatic learning.•Known tools of fuzzy clustering are conveniently used with excellent results.

论文关键词：Robust fault diagnosis,Automatic learning,On-line detection,Novel faults,Fuzzy clustering tools,Optimal parameters

论文评审过程：Received 30 April 2017, Revised 28 June 2018, Accepted 30 June 2018, Available online 30 June 2018, Version of Record 10 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.06.055