Stator winding fault detection and classification in three-phase induction motor

• Main Authors: Majid Hussain, Dileep Kumar Soother, Imtiaz Hussain Kalwar, Tayab Din Memon, Zubair Ahmed Memon, Kashif Nisar, Bhawani Shankar Chowdhry
• Format: Article
• Language: English; English
• Published: Tech Science Press 2021
• Subjects: TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
• Online Access: https://eprints.ums.edu.my/id/eprint/33051/1/Stator%20winding%20fault%20detection%20and%20classification%20in%20three-phase%20induction%20motor.pdf; https://eprints.ums.edu.my/id/eprint/33051/3/Stator%20winding%20fault%20detection%20and%20classification%20in%20three-phase%20induction%20motor%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/33051/; https://www.techscience.com/iasc/v29n3/43040; http://dx.doi.org/10.32604/iasc.2021.017790

Induction motors (IMs) are the workhorse of the industry and are subjected to a harsh environment. Due to their operating conditions, they are exposed to different kinds of unavoidable faults that lead to unscheduled downtimes and losses. These faults may be detected early through predictive mainten...