Title :
Online Detection of Induction Motor´s Stator Winding Short-Circuit Faults
Author :
Eftekhari, Mahdi ; Moallem, Mehrdad ; Sadri, Saeed ; Min-Fu Hsieh
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
The main objective of this paper is to develop a new technique for detecting turn-to-turn short-circuit faults in one or two stator phases of an induction motor. Hence, modeling a turn-to-turn short-circuit fault in more than one phase and a phase-to-ground fault is the first novelty of this paper for calculating phase currents under faulty conditions. This strategy uses the extracted features from the corresponding three-phase current pattern in 3-D space. Identification of faulty phases and of the severity of the fault is the outcome of this technique. This technique is also capable of detecting a phase-to-ground fault. This method just requires current sensors that are available in most drive systems to provide good controllability, and details of the machine design are not necessary. Experimental results are included to show the ability of the proposed strategy for detecting and locating phase/phases under different faults and load conditions.
Keywords :
electric sensing devices; fault diagnosis; induction motor drives; short-circuit currents; stators; 3D space current locus; current sensors; drive systems; feature extraction; induction motor stator winding short-circuit faults; phase current calculation; phase-to-ground fault detection; three-phase current pattern; turn-to-turn short-circuit fault detection; Circuit faults; Condition monitoring; Fault diagnosis; Feature extraction; Induction motors; Short-circuit currents; Stator windings; 3-D space current locus; Condition monitoring; induction motor (IM); phase-to-ground short-circuit fault; turn-to-turn short-circuit fault;
Journal_Title :
Systems Journal, IEEE
DOI :
10.1109/JSYST.2013.2288172