DocumentCode :
713247
Title :
Multilayer Park´s vector approach, a method for fault detection on induction motors
Author :
Burriel-Valencia, J. ; Sapena-Bano, A. ; Pineda-Sanchez, M. ; Martinez-Roman, J.
Author_Institution :
Dept. de Ing. Electr., Univ. Politec. de Valencia, Valencia, Spain
fYear :
2015
fDate :
17-19 March 2015
Firstpage :
775
Lastpage :
780
Abstract :
This paper introduces a new method of fault diagnosis for induction motors, the Multilayer Park´s Vector Approach, derived from the well-known fault diagnostic method based on Park´s Vector Approach analysis. This new method allows the detection of failures in steady and transient regimes operation on induction motors. The resulting vector generated provides the information about deviations in the circularity of Park´s vector for each motor cycle, allowing with this information the diagnosis of failures. As advantages, this method have a lower computational cost than others methods derived from the fault analysis with Park´s Vector Approach. This requires only knowledge of supply frequency and control method, without setting parameters and without motor specification. To test the reliability of this method, a test of broken rotor bars through Multilayer Park´s Vector Approach has been done, obtaining relevant characteristics for the successful broken rotor bar detection.
Keywords :
failure analysis; fault diagnosis; induction motors; rotors; vectors; broken rotor bar detection; control method; failure detection; fault detection; fault diagnostic method; induction motors; motor cycle; multilayer Park vector approach; steady regime operation; supply frequency; transient regime operation; Circuit faults; Eigenvalues and eigenfunctions; Histograms; Induction motors; Nonhomogeneous media; Rotors; Steady-state; Multilayer Park´s Vector Approach; Park´s Vector Approach; broken rotor bars; detection; diagnosis; induction motors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
Type :
conf
DOI :
10.1109/ICIT.2015.7125192
Filename :
7125192
Link To Document :
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