Title :
A generalized condition monitoring method for multi-phase induction motors
Author :
Choi, S.D. ; Akin, B. ; Rahimian, M.M. ; Toliyat, H.A. ; Azadpour, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
Abstract :
As high power applications in industry commonly employ multi-phase motors and generators, a generic solution is needed for fault diagnosis of various multi-phase systems. Furthermore, the fault criteria set for the severity of the detected fault signature has still been a challenge due to the dynamic behavior of the fault-related signatures in the motor line current. Therefore a generalized solution is needed for multi-phase systems including the adaptive threshold that validates the fault detection algorithm through the entire operation range. In this paper, it is focused on a mathematical analysis of conventional DSP algorithms, frequency tone detectors, including Park´s vector approaches. Based on the analysis, it is theoretically extended and simulated for a contribution of a future online fault diagnosis of multiphase machine.
Keywords :
condition monitoring; fault diagnosis; induction motors; DSP algorithms; Park´s vector approaches; adaptive threshold; fault criteria; fault detection algorithm; fault diagnosis; fault signature; frequency tone detectors; generalized condition monitoring method; motor line current; multiphase generators; multiphase induction motors; Adaptive systems; Condition monitoring; Digital signal processing; Fault detection; Fault diagnosis; Frequency; Induction generators; Induction motors; Mathematical analysis; Power generation;
Conference_Titel :
Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-4251-5
Electronic_ISBN :
978-1-4244-4252-2
DOI :
10.1109/IEMDC.2009.5075261