Predictive Maintenance of Motor Using Machine Learning


EOI: 10.11242/viva-tech.01.06.018

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Citation

Siddhesh Darje, Premchandra Kumbhar, Nilesh Marchande, Dr. Deepak Sajnekar, "Predictive Maintenance of Motor Using Machine Learning", VIVA-IJRI Volume 1, Issue 6, Article 18, pp. 1-5, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

As we all know that Condition monitoring together with predictive maintenance of electric motors and other equipment used by the industry avoids severe economic losses resulting from unexpected motor failures and greatly improves the system reliability. This paper describes a Machine Learning architecture for Predictive Maintenance, based on Machine Learning approach. The system was tested on a real industry example, by developing the data collection and data system analysis, applying the Machine Learning approach and comparing it to the simulation tool analysis. Data has been collected by various sensors. With the help of this paper, we want to monitor and increase the life span of Electric motor and other equipment's.

Keywords

Predictive maintenance, Fault Diagnosis, Anomaly Detection, Deep Learning.

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