This paper presents a neural approach to detect and locate automatically an interturn short-
circuit fault in the stator windings of the induction machine. The fault detection and location …

This paper proposes new expressions of symmetrical components (SCs) of the stator
currents of the induction motor (IM) in steady state and under different stator faults, useful to …

Induction motors condition monitoring is a very important process for immediate detection of
the incipient faults. This prevents the spread of the faults up to risky degrees and avoids …

This paper proposes an original simplified model aimed to simulate, an easy way, inter turns
short circuit fault, phase to phase fault and phase to ground fault. In this model, the stator is …

This paper deals with the detection of inter turn short circuit fault based on the negative
sequence current as indicator of this stator fault. This work focuses first on the development …

This paper proposes a neural network based method to achieve an automatic detection of
different stator faults of the induction motor. The concerned stator faults are the inter turns …

This paper deals with artificial neural network approach for automatic detection of severity
level of stator winding fault in induction motor. The problem is faced through modelling and …

The adopted diagnostic procedures in industrial process are based on the monitoring of one
or more significant indicators of the considered fault. Therefore, the diagnostic performances …

This chapter provides a comprehensive analysis of noninvasive methods to diagnose stator
winding insulation faults of an induction motor. Further, a novel noninvasive method is …

The intention of fault detection is to detect the fault at beginning stage and shutoff the
machine immediately to avoid motor failure due to the large fault current. In this work, an …