Probabilistic Diagnosis of Broken Rotor Bar of Cage Induction Motor Focused on Transition of Features

Abstract

In this paper, a new method is proposed to detect broken rotor bars in a cage induction motor. In this method, characteristic frequency components are extracted by a frequency analysis, and they are displayed on a two-dimensional feature distribution. Based on this feature distribution, a probability of broken rotor bar, which is used in the diagnostic indicators, is derived, and the condition of the rotor is diagnosed by the probability. The effectiveness of the proposed diagnosis method is verified by performing some experiments.