A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine

作者：

Highlights：

• A personalized diagnosis method is proposed to detect fault in mechanical system.

• FEM simulation and ELM are employed to generate fault samples and classify faults.

• The performance of the present method is shown using a test rig in experiment.

• The personalized fault diagnosis is a new research topic to generate fault samples.

摘要

•A personalized diagnosis method is proposed to detect fault in mechanical system.•FEM simulation and ELM are employed to generate fault samples and classify faults.•The performance of the present method is shown using a test rig in experiment.•The personalized fault diagnosis is a new research topic to generate fault samples.

论文关键词：Personalized fault diagnosis,Gears,Finite element method,Numerical simulation,Extreme learning machine

论文评审过程：Received 5 December 2019, Revised 30 December 2019, Accepted 10 February 2020, Available online 14 February 2020, Version of Record 4 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105653