International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 4 October-December 2025 Submit your research before last 3 days of December to publish your research paper in the issue of October-December.

Intelligent VFD Drive Controller for AC Motors

Author(s) Prof. Geethamani R, Ms. Padma Priya S R, Mr. Santhipkumar S, Ms. Sasipriya S, Mr. Srivisweswara M S
Country India
Abstract Faults in industrial motor systems can affect energy efficiency, speed and increase unplanned downtimes. This paper proposes a model to show command with Python using VFD with the help of a machine learning approach for predictive maintenance and real-time fault detection. The motor system processes sensor data in real-time which helps in detecting faults. It improves accuracy of fault prediction and cuts down on downtime by using data analytics. The proposed technique helps raise industrial automation, lower upkeep spending and enhance energy efficiency.
Keywords Energy efficiency, Fault detection, Machine learning, Predictive maintenance.
Field Engineering
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-07

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