Multiple Faults Diagnosis in Induction Motor Using the MCSA Method

This paper deals with the diagnosis of induction m otors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one f the most efficient techniques for the detection and the localization of electrical and mechanical f ailures, in which faults become apparent by harmoni c components around the supply frequency. This paper presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM . A three-phase IM model was used for simulation ta king into account in one hand the normal healthy operation an d in the other hand the broken rotor bars, the shor ted turns in the stator windings, the voltage unbalance between phas es of supply and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detec tion of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect multiple faults simultaneously, in normal and abnor mal functional conditions. The results illustrate good agreement b tween both simulated and experimental results.