Aiming to promptly process the massive fault data and automatically provide accurate
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …

Fault diagnosis is critical to ensure the safety and reliable operation of rotating machinery.
Most methods used in fault diagnosis of rotating machinery extract a few feature values from …

Fault diagnosis and prognosis in mechanical systems have been researched and
developed in the last few decades at a very rapid rate. However, owing to the high …

The monitoring of rotating machinery is an essential task in today's production processes.
Currently, several machine learning and deep learning-based modules have achieved …

Due to the growing interest for increasing productivity and cost reduction in industrial
environment, new techniques for monitoring rotating machinery are emerging. Artificial …

Fault diagnosis of rotating machinery plays a significant role in the reliability and safety of
modern industrial systems. The traditional fault diagnosis methods usually need manually …

Data‐driven fault diagnosis has prevailed in machine condition monitoring in the past
decades. However, traditional machine‐and deep‐learning‐based fault diagnosis methods …

As failures in rotating machines can have serious implications, the timely detection and
diagnosis of faults in these machines is imperative for their smooth and safe operation …

Abstract Machine fault diagnostic and prognostic techniques have been the considerable
subjects of condition-based maintenance system in the recent time due to the potential …

Fault diagnosis methods for rotating machinery have always been a hot research topic, and
artificial intelligence-based approaches have attracted increasing attention from both …