Review on Machine Learning Algorithm Based Fault Detection in Induction Motors

Prashant Kumar, Ananda Shankar Hati

Research output: Contribution to journalArticlepeer-review

116 Scopus citations

Abstract

Fault detection prior to their occurrence or complete shut-down in induction motor is essential for the industries. The fault detection based on condition monitoring techniques and application of machine learning have tremendous potential. The power of machine learning can be harnessed and optimally used for fault detection. The faults especially in induction motor needs to be addressed at a proper time for avoiding losses. Machine learning algorithm applications in the domain of fault detection provides a reliable and effective solution for preventive maintenance. This paper presents a review of the machine learning algorithm applications in fault detection in induction motors. This paper also presents the future prospects and challenges for an efficient machine learning based fault detection systems.

Original languageEnglish
Pages (from-to)1929-1940
Number of pages12
JournalArchives of Computational Methods in Engineering
Volume28
Issue number3
DOIs
StatePublished - May 2021

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