Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Distinct feature extraction methods are simultaneously used to describe bearing faults. This
approach produces a large number of heterogeneous features that augment discriminative …

The frequency of rolling element failures in induction motor is high and may lead to losses
due to sudden downtime of machine. Researchers are fervent to identify an effective fault …

Rolling element bearings are very critical components of rotating machines and the
presence of defects in the bearing may lead to failure of machines. Rolling Element Bearing …

In this work, vibration analysis of rolling element bearings (REBs) defects is studied. The
REBs are the most widely used mechanical parts in rotating machinery under high load and …

Ball bearings are widely used for providing support to the rotating parts in machinery and
vehicles. Any damage to a bearing element during operation leads to vibration and …

In the modern world, rotating machinery is a significant industrial machine. Motors, for
example, currently provide almost half of the supplied mechanical energy to different …

Effectiveness of online bearing status monitoring (OBSM) depends deeply on the online
data processing ability and the sensitivity of data features used to recognize the mechanical …

Nowadays, manufacturing processes is adopting solutions with more sensoring systems on
the basis of Industrial Cyber-Physical System (ICPS) approaches in order to carry out real …

Fault detection in ball bearing has attracted attention of various researchers. Several
Statistical features have been proposed and used by various researchers for fault detection …