Title :
PCA-Based On-Line Diagnosis of Induction Motor Stator Fault Feed by PWM Inverter
Author :
Martins, J.F. ; Pires, V. Fernao ; Pires, A.J.
Author_Institution :
LabSEI, Instituto Politecnico de Setubal
Abstract :
In this paper an automatic PCA (principal component analysis) based algorithm is presented for an on-line diagnostics of three-phase PWM feed induction motor stator fault. The analysis of the fault is derived from the two first principal components of the power inverter output current alphabeta-vector patterns. The obtained eigenvalues are used to discern if the motor is healthy or not, and the correspondent eigenvectors can infer the phase in which the fault occurs. The method is simple to implement and is able to indicate the extend of the fault; rather then only detect its presence
Keywords :
PWM invertors; eigenvalues and eigenfunctions; electric machine analysis computing; fault diagnosis; induction motors; principal component analysis; stators; PWM inverter; alphabeta-vector patterns; automatic PCA-based online diagnosis; eigenvalues; induction motor stator fault; three-phase PWM feed induction motor stator fault; Eigenvalues and eigenfunctions; Fault detection; Fault diagnosis; Feeds; Induction motors; Pattern analysis; Principal component analysis; Pulse width modulation; Pulse width modulation inverters; Stators;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295948
