Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

The development in materials technology has produced stronger, lighter, stiffer, and more
durable electrically insulating composites which are replacing metals in many applications …

This paper proposes an improved diagnosis method for early detection and localization of
Inter-Turn Short Circuit (ITSC) faults in the stator winding of the induction motor (IM). The …

In motor drive system, Bearing fault detection through motor current signal (MCS) analysis
has gained recognition for its cost-effectiveness and non-invasive nature. However, two …

This paper presents an integrated approach for the detection and classification of the faults
of rolling bearing in rotary machines. Permutation entropy (PE) is integrated with a flexible …

Raw statistical features can imitate the amplitude, average, energy and time, and frequency
series distribution of a raw vibration signal. However, these raw statistical features are either …

Artificial intelligence algorithms and vibration signature monitoring are recurrent approaches
to perform early bearing damage identification in induction motors. This approach is …

This paper presents a comparative study between two techniques of signal processing to
diagnose both faults the inter-turn short circuit (ITSC) in stator windings and the unbalanced …

Induction machines are widely used in several industries around the world; their robust
design allows them to operate even under nonoptimal conditions; the nonoptimal operation …

Three-phase induction motors (TPIMs) are prone to numerous faults due to their complicated
stator and rotor conditions and require a fast response, accurate, and intelligent diagnostic …