Signature analysis of electrical and mechanical signals for diagnosis of broken rotor bars in an induction motor
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In this paper, diagnosis of broken rotor bar faults in induction motors is presented using a time-stepping, finite element (TSFE) technique. Stator current, magnetic flux distribution, magnetic potential vector, magnetic flux density, torque, and speed of the healthy motor and motor with broken rotor bars are calculated. By analyzing the current spectrum, torque, and speed and also by precise analysis of the air gap magnetic field, the occurrence and extent of the broken rotor bars, unbalanced stator current, noise, vibration, and pulsation torque in a faulty induction motor are investigated. In previous publications on the fault diagnosis of induction motors, only one of the above-mentioned signals was used for diagnosis. However, here precise computation and analysis of the field, current, torque, speed, and their relationship and interaction in the analysis and diagnosis of the broken rotor bars are considered.