Optimizing sample length for fault diagnosis of clutch systems using deep learning and vibration analysis
Published online on August 23, 2024
Abstract
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Volume 240, Issue 3, Page 2687-2697, June 2026.
Clutches are prone to failure owing to extended heat exposure and high levels of abrasion during power transfer. Internal damage, downtime, and permanent transmission system lock-up all can result from these faults. To detect and diagnose these faults, ...
Clutches are prone to failure owing to extended heat exposure and high levels of abrasion during power transfer. Internal damage, downtime, and permanent transmission system lock-up all can result from these faults. To detect and diagnose these faults, ...