There is an increasing interest in improving energy efficiency and reducing operational costs
of induction motors in the industry. These costs can be significantly reduced, and the …

Motors are the higher energy-conversion devices that consume around 40% of the global
electrical generated energy. Induction motors are the most popular motor type due to their …

Motor current signature analysis has become a widespread fault diagnosis technique for
induction machines (IMs), because it is noninvasive and requires low resources of hardware …

The fault diagnosis of electrical machines during startup transients has received increasing
attention regarding the possibility of detecting faults early. Induction motors are no …

The incorporation of new technologies as training methods, such as virtual reality (VR),
facilitates instruction when compared to traditional approaches, which have shown strong …

Motor current signature analysis (MCSA) has been widely used for fault diagnosis of
induction motors (IMs) because of its non-invasiveness and comparatively low cost …

Among a myriad of techniques in motor current analysis for fault detection in transient
regime, the discrete wavelet transform (DWT) was widely implemented in the embedded …

This article presents a novel approach for detecting broken rotor bars in squirrel-cage
induction motors, using a time-domain current analysis. More particularly, this solution …

Fault detection in induction motors has an important role in saving costs in various
industries. Due to the wide range of faults in induction motors, using different electrical and …

Fault diagnosis of induction motors through the analysis of the stator current is increasingly
being used in maintenance systems, because it is non-invasive and has low requirements of …