Case-based reasoning system for fault diagnosis of aero-engines

作者：

Highlights：

• A highly accurate CBR system with novel similarity measure for fault diagnosis.

• Integrating three local similarity measures associated with different attributes.

• A tree-based semantic similarity measure linking fault part and fault mode.

• The first tentative case base in the field of aero-engine fault diagnosis.

摘要

•A highly accurate CBR system with novel similarity measure for fault diagnosis.•Integrating three local similarity measures associated with different attributes.•A tree-based semantic similarity measure linking fault part and fault mode.•The first tentative case base in the field of aero-engine fault diagnosis.

论文关键词：Case-based reasoning,Aero-engine,Fault diagnosis,Similarity measure,Tree-based semantic similarity

论文评审过程：Received 17 June 2021, Revised 7 April 2022, Accepted 25 April 2022, Available online 28 April 2022, Version of Record 30 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117350