Técnicas de Detección y Diagnóstico de Fallos en Máquinas Eléctricas de Inducción (Fault Detection and Diagnosis Techniques in Induction Electrical Machines)

Carlos Javier Verucchi (verucchi@fio.unicen.edu.ar), Gerardo Gabriel Acosta (ggacosta@fio.unicen.edu.ar)


Universidad Nacional del Centro de la Provincia de Buenos Aires - Facultad de Ingeniería
This paper appears in: Revista IEEE América Latina

Publication Date: March 2007
Volume: 5,   Issue: 1 
ISSN: 1548-0992


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.

Index Terms:
Induction motors. Fault detection and diagnosis   


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