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http://dx.doi.org/10.5050/KSNVN.2004.14.8.675

A Development of the Algorithm to Detect the Fault of the Induction Motor Using Motor Current Signature Analysis  

신대철 (호서대학교 전기정보통신공학부)
정병훈 (호서대학교 대학원 전기공학과)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.14, no.8, 2004 , pp. 675-683 More about this Journal
Abstract
The motor current signature provides an important source of the information for the faults diagnosis of three-phase induction motor. The theoretical principles behind the generation of unique signal characteristics, which are indicative of failure mechanisms, are Presented. The fault detection techniques that can be used to diagnose mechanical Problems, stator and rotor winding failure mechanisms, and air-gap eccentricity are described. A theoretical analysis is presented which predicts the presence of unique signature patterns in the current that are only characteristics of the fault. The predictions are verified by experimental results from a special fault Producing test rig and on-site tests in a steel company. And this study have made new diagnostic algorithm for the operating induction motors with the test results. These developments are including the use of monitoring and analysis of electric current to diagnose mechanical and electrical problems and gave the precise test results automatically.
Keywords
Airgap Eccentricity; Rotor Bar Fault; Motor Current Signature Analysis; Stator Winding Fault;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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