Fault Detection and Diagnosis Techniques in Induction Electrical Machines

Abstract

A GREAT AND VARIED DEAL OF APPROACHES FOR FAULT DETECTION AND DIAGNOSIS IN INDUCTION MACHINES HAS BEEN PROPOSED AND IMPLEMENTED IN THE LAST YEARS. THESE NEW TECHNIQUES ARE ATTRACTIVE DUE TO THEY ARE CHARACTERIZED BY THEIR ON-LINE AND NON-INVASIVE FEATURES. THAT IS, THE ABILITY OF DETECTING FAULTS WHILE THE MACHINE IS UNDER NORMAL RUNNING AND WITHOUT NEEDING TO MOUNT SENSORS WITHIN THE MOTOR. THESE FEATURES, INHERENT OF THE NEW TECHNIQUES, DISTINGUISH THEM FROM THE TRADITIONAL ONES, WHICH MAINLY REQUIRE THAT THE MACHINE UNDER STUDY IS OUT OF SERVICE IN ORDER TO YIELD A DIAGNOSIS. THE PURPOSE OF THIS ARTICLE CONSISTS THEN IN REVIEWING THE PRINCIPAL ALTERNATIVES IN THE FIELD OF FAULT DIAGNOSIS FOR INDUCTION MACHINES AND TO COMPARE THEIR PERFORMANCE TAKING INTO ACCOUNT THE REQUIRED DIAGNOSTIC INFORMATION, THE NUMBER AND IMPORTANCE OF THE FAULTS THEY CAN DETECT, THEIR SPEED TO ANTICIPATE A FAULT AND THE CERTAINTY DEGREE IN THE FINAL DIAGNOSIS.