Smart Predictive Maintenance for Industrial Equipment Using Supervised Machine Learning

K. T. Thilagham, S. Duraithilagar, P. Mathiyalagan, M. Silpa Raj, Sathyamoorthy N., P. Jaisankar

2025

Abstract

This paper proposes a supervised learning based predictive maintenance framework for industrial devices, in order to reduce unplanned stoppages and advance operating efficiency. Enlisted sensor data and historical maintenance records are used in training classification and regression model for sensing the signals of equipment failure in an early stage. The system is designed for a wide variety of industrial environments, and provides a mechanism for timely decision-making. The entire operation can be rapidly deployed and every model is transparent. Experiments verify the framework’s practical effect on predicting large failures and its subsequent improvement of maintenance planning. As a result, unexpected breakdowns are significantly cut down in number.

Paper Citation

in Harvard Style

Thilagham K., Duraithilagar S., Mathiyalagan P., Raj M., N. S. and Jaisankar P. (2025). Smart Predictive Maintenance for Industrial Equipment Using Supervised Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 5-12. DOI: 10.5220/0013856400004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Thilagham and S. Duraithilagar and P. Mathiyalagan and M. Raj and Sathyamoorthy N. and P. Jaisankar},
title={Smart Predictive Maintenance for Industrial Equipment Using Supervised Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013856400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Smart Predictive Maintenance for Industrial Equipment Using Supervised Machine Learning
SN - 978-989-758-777-1
AU - Thilagham K.
AU - Duraithilagar S.
AU - Mathiyalagan P.
AU - Raj M.
AU - N. S.
AU - Jaisankar P.
PY - 2025
SP - 5
EP - 12
DO - 10.5220/0013856400004919
PB - SciTePress