Predictive Maintenance of Motors using Machine Learning

Predictive Maintenance of Motors using Machine Learning

Registration ID: IJNRD_217902

Published ID: IJNRD2404282

DOI: Click Here to Get

Nithish kanna J L , Krishnakumar G , Muhammad Aadhil M , Dr. Ajay V P

predictive maintenance, machine learning models, critical failures

The suggested predictive maintenance system makes use of sensor readings, operating conditions, and failure incidences from previous motor operation data. Machine learning models are trained on a large dataset, which enables them to identify patterns and correlations suggestive of possible motor breakdowns. A variety of algorithms are used to build a strong prediction model, including ensemble approaches, neural networks, and support vector machines. By continuously analysing real-time data from motors, the predictive maintenance model can identify possible flaws before they become serious failures. Because of this, maintenance teams may plan interventions during scheduled downtime, maximising the use of available resources and reducing unforeseen outages. By extending the lifespan of motors and lowering maintenance costs, the application of this predictive maintenance strategy supports overall sustainability initiatives.

Published Paper   E-Certificate

"Predictive Maintenance of Motors using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c430-c436, April-2024, Available :https://ijnrd.org/papers/IJNRD2404282.pdf

Volume 9 Issue 4, April-2024

Pages : c430-c436

Paper Reg. ID: IJNRD_217902

Published Paper Id: IJNRD2404282

Downloads: 000121191

Research Area: Engineering

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404282.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404282

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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