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
