Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

作者：

Highlights：

• A data-driven early fault diagnosis methodology of PMSM is proposed.

• Bayesian networks are applied to identify the early, middle and permanent faults.

• The proposed methodology has a good tolerance for different applied loads.

摘要

•A data-driven early fault diagnosis methodology of PMSM is proposed.•Bayesian networks are applied to identify the early, middle and permanent faults.•The proposed methodology has a good tolerance for different applied loads.

论文关键词：PMSM,Early faults,Fault diagnosis,Bayesian networks

论文评审过程：Received 1 December 2020, Revised 5 February 2021, Accepted 3 April 2021, Available online 8 April 2021, Version of Record 14 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115000