The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

Recently, researchers are investing more fervently in fault diagnosis area of electrical
machines. The users and manufacturers of these various efforts are strong to contain …

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …

The advancement of Industry 4.0 and Industrial Internet of Things (IIoT) has laid more
emphasis on reducing the parameter amount and storage space of the model in addition to …

Every industry is now turning towards industry 4.0. In this era, industry requires smart
machine tools. But for small scale and medium scale industries, it is not affordable to buy …

Traditional labour‐intensive methods always suffer from time and frequency blurring and
cross‐term interference when detecting fault features from vibration signals and their time …

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

Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …