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 …

Fault diagnosis in high-speed machining centers (HSM) is critical in manufacturing systems,
since early detection saves a substantial amount of time and money. It is known that 42% of …

Nowadays, intelligent models can correctly detect faults by analysing signals from rotating
machinery. However, most of the studies are run in controlled environments and the …

Application of deep-learning techniques has been increasing, which redefines state-of-the-
art technology, especially in industrial applications such as fault diagnosis and classification …

Rotating machines are critical equipment in many processes, and failures in their operation
can have serious implications. Consequently, fault detection in rotating machines has been …

Rolling element bearings and gears are the most common machine elements. As they are
extensively used in rotating machinery, their health conditions are crucial to the safe …

Machine learning is promising in vibration signal based fault diagnosis because of its full
use of big data and nonlinearity extracting capability. However, in real-world application, the …

Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further
damage to the machine or other machine attached to it. Various signal analysis based …

Deep learning (DL) has attained remarkable achievements in diagnosing faults for rotary
machineries. Capitalizing on the formidable learning capacity of DL, it has the potential to …

With the rapid development of industry, fault diagnosis plays a more and more important role
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …