Fault Diagnosis Bearings in Induction Motor Using Improved Extended Classifier System

. Equipment with electric motors are launched and expanded role in the industry. also ,Bearings are one of the most used engine parts Because of the constant rotation sooner than other parts crashes and And because of that extensive research has been done on the health monitoring of induction motors bearings. Usually,Bearing failures are local the ring of domestic, foreign, or rack the balls are formeds. Repeat of size and period of thuds impressible by the defect with respect to the rotational speed, the fault location and sometimes it can determine the severity. This causes vibration signals for bearing health monitoring are used. In this paper, an intelligent system is designed to monitor the health of the induction motor bearing. Also a comparison between the results of different methods of classification and segregation defects in both computational cost and the percentage of correct answers to the test is done. Collection of data on health status, outer ring fault, and inner ring defect, tested and evaluated and proposed method, the computational cost and Show that the percentage of correct answers is better than other methods

کلیدواژه ها:

Intelligent Systems ، Induction Motor ، Health monitoring ، signals