PCA-Based On-Line Diagnosis of Induction Motor Stator Fault Feed by PWM Inverter

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