Shaeboub, Abdulkarim, Abusaad, Samieh, Hu, Niaoqing, Gu, Fengshou and Ball, Andrew (2015) Detection and Diagnosis of Motor Stator Faults using Electric Signals from Variable Speed Drives. In: Proceedings of the 21st International Conference on Automation and Computing (ICAC). IEEE. ISBN 978-0-9926801-0-7

Motor current signature analysis has been investigated widely for diagnosing faults of induction motors. However, most of these studies are based on open loop drives. This paper examines the performance of diagnosing motor stator faults under both open and closed loop operation modes. It examines the effectiveness of conventional diagnosis features in both motor current and voltage signals using spectrum analysis. Evaluation results show that the stator fault causes an increase in the sideband amplitude of motor current signature only when the motor is under the open loop control. However, the increase in sidebands can be observed in both the current and voltage signals under the sensorless control mode, showing that it is more promising in diagnosing the stator faults under the sensorless control operation.

Satator Fault Detection_Abdulkarim_19Huddersfield Uni.pdf - Accepted Version

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