The diagnosis of complicated fault severity problems in rotating machinery systems is an
important issue that affects the productivity and quality of manufacturing processes and …

Intelligent mechanical fault diagnosis algorithms based on deep learning have achieved
considerable success in recent years. However, degradation of the diagnostic accuracy and …

The fast and efficient fault diagnosis is the key to guarantee uninterrupted working of
facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data …

Rotating machinery usually suffers from a type of fault, where the fault feature extracted in
the frequency domain is significant, while the fault feature extracted in the time domain is …

Rotating machinery is a very important mechanical device widely used in critical industrial
applications. Efficient fault detection and diagnosis are key challenges in the maintenance …

Rotating machinery has been developed with high complexity and precision, and bearings
and gears are crucial components in the machinery system. Deep learning has attracted …

Recent advancements in smart sensors and deep learning facilitate the use of intelligent
systems for machine health monitoring and diagnostics. While data-driven diagnosis …

Intelligent fault diagnosis methods based on deep learning becomes a research hotspot in
the fault diagnosis field. Automatically and accurately identifying the incipient micro-fault of …

Intelligent machinery fault diagnosis system has been receiving increasing attention recently
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …

Deep learning (DL)-based Fault Diagnosis (FD) methods have been wildly used in the
industry domain for the guarantee of rotating machinery. Training these models often …