Title :
A review of induction motors signature analysis as a medium for faults detection
Author :
El Hachemi Benbouzid, Mohamed
Author_Institution :
Univ. of Picardie Jules Verne, Amiens, France
fDate :
10/1/2000 12:00:00 AM
Abstract :
This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without “state-of-the-art” terminology for the benefit of practising engineers in facilities today who may not be familiar with signal processing
Keywords :
fault location; induction motors; signal processing; spectral analysis; stators; electrical conditions; faults detection; induction motors signature analysis; mechanical conditions; signal processing; spectral analysis; state-of-the-art terminology; stator current; Condition monitoring; Electrical fault detection; Fault detection; Induction motors; Magnetic sensors; Rotors; Stators; Temperature sensors; Torque; Vibration measurement;
Journal_Title :
Industrial Electronics, IEEE Transactions on