Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

Preventing induction motors (IMs) from failure and shutdown is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …

Motor-current-signature analysis has been successfully used in induction machines for fault
diagnosis. The method, however, does not always achieve good results when the speed or …

At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

A new method for the fault diagnosis of a broken rotor bar and interturn short circuits in
induction machines (IMs) is presented. The method is based on the analysis of the three …

Overall system performance on a production line is one of the major concerns in modern
industry where induction motors are present and their condition monitoring is mandatory …

We present an algorithm for the online detection of rotor bar breakage in induction motors
through the use of wavelet packet decomposition (WPD) and neural networks. The system …

An intelligent complementary sliding-mode control (CSMC)(ICSMC) is proposed in this
paper for the fault-tolerant control of a six-phase permanent-magnet synchronous motor …

Basic hardware comprehension of an artificial neural network (ANN), to a major scale
depends on the proficient realization of a distinct neuron. For hardware execution of NNs …

Motor current signature analysis (MCSA) is the reference method for the diagnosis of
medium-large machines in industrial applications. However, MCSA is still an open research …