
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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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 |
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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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CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
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