Three-phase induction motors are used in the industry commonly for example woodworking
machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive …

In the signal analysis context, the entropy concept can characterize signal properties for
detecting anomalies or non-representative behaviors in fiscal systems. In motor fault …

Nowadays, induction motor (IM) is extensively used in industry, including mechanical and
electrical applications. However, three main types of IM faults have been discussed in the …

Electrical motors are used in industry and in home appliances. They are important for
people. Electrical motors convert electric energy into mechanical work. They generate …

Although induction motors (IMs) are robust and reliable electrical machines, they can suffer
different faults due to usual operating conditions such as abrupt changes in the mechanical …

Deconvolution methods have been extensively applied for enhancing the impulsive feature
of those bearing signals, which promotes the accuracy of the bearing fault diagnosis …

This paper presents a study on vibration‐based fault diagnosis techniques of a commutator
motor (CM). Proposed techniques used vibration signals and signal processing methods …

Minimum entropy deconvolution (MED) has been widely applied to extract the repetitive
transients. Its effectiveness for bearing fault diagnosis, however, might be undermined by the …

When rolling bearing failure occurs, vibration signals generally contain different signal
components, such as impulsive fault feature signals, background noise and harmonic …

A degradation of metallurgical equipment is normal process depended on time. Some
factors such as: operation process, friction, high temperature can accelerate the degradation …