Condition-based monitoring of rotating machines requires robust features for accurate fault
diagnosis, which is indeed directly linked to the quality of the features extracted from the …

The analysis of vibration signals has been a very important technique for fault diagnosis and
health management of rotating machinery. Classic fault diagnosis methods are mainly …

Over the decades, vibration-based condition monitoring has become well accepted and
widely used to identify faults in rotating machines. However, the quantification of faults may …

Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Induction motors are critical components for most industries. Induction motor failures may
yield an unexpected interruption at the industry plant. Several conventional vibration and …

In order to achieve accurate diagnosis for rotating machinery automatically and considering
that test data under actual fault conditions are rather difficult to obtain, a novel fault diagnosis …

Since fault characteristic frequencies (FCFs) and their harmonics are closely connected with
specific fault types of rotating machines, identification of FCFs and their harmonics is a very …

A novel method of intelligent diagnosis is proposed for structural faults in low-speed rotating
machinery. It uses a hybrid scheme to automatically identify health states in a complex …

Accurate and early detection of machine faults is an important step in the preventive
maintenance of industrial enterprises. It is essential to avoid unexpected downtime as well …

Fault diagnosis plays an essential role in reducing the maintenance costs of rotating
machinery manufacturing systems. In many real applications of fault detection and …