A new comprehensive monitoring and diagnostic approach for early detection of mechanical degradation in helicopter transmission systems

作者：

Highlights：

• The transmission system embeds multiple components that are constantly monitored;

• Ad-hoc health indexes are extracted from their vibration signature and analyzed;

• An ensemble of autoencoders learns the each component's indexes standard behavior;

• Anomalies are accurately detected, also reporting the responsible component.

摘要

•The transmission system embeds multiple components that are constantly monitored;•Ad-hoc health indexes are extracted from their vibration signature and analyzed;•An ensemble of autoencoders learns the each component's indexes standard behavior;•Anomalies are accurately detected, also reporting the responsible component.

论文关键词：Helicopter transmission,Fault detection,Time-frequency analysis,Machine-learning,Predictive maintenance,Autoencoder,Vibrations monitoring

论文评审过程：Received 27 January 2022, Revised 3 August 2022, Accepted 3 August 2022, Available online 11 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118412