Machine Learning based Predictive Maintenance in Manufacturing Industry

Nadeem Iftikhar, Yi-Chen Lin, Finn Nordbjerg

2022

Abstract

Predictive maintenance normally uses machine learning to learn from existing data to find patterns that can assist in predicting equipment failures in advance. Predictive maintenance maximizes equipment’s lifespan by monitoring its condition thus reducing unplanned downtime and repair cost while increasing efficiency and overall productive capacity. This paper first presents the machine learning based methods to predict unplanned failures before they occur. Afterwards, to confront the everlasting downtime problem, it discusses anomaly detection in greater detail. It also explains the selection criteria of these methods. In addition, the techniques presented in this paper have been tested by using well-known data-sets with promising results.

Paper Citation

in Harvard Style

Iftikhar N., Lin Y. and Nordbjerg F. (2022). Machine Learning based Predictive Maintenance in Manufacturing Industry. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL, ISBN 978-989-758-612-5, pages 85-93. DOI: 10.5220/0011537300003329

in Bibtex Style

@conference{in4pl22,
author={Nadeem Iftikhar and Yi-Chen Lin and Finn Nordbjerg},
title={Machine Learning based Predictive Maintenance in Manufacturing Industry},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,},
year={2022},
pages={85-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011537300003329},
isbn={978-989-758-612-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,
TI - Machine Learning based Predictive Maintenance in Manufacturing Industry
SN - 978-989-758-612-5
AU - Iftikhar N.
AU - Lin Y.
AU - Nordbjerg F.
PY - 2022
SP - 85
EP - 93
DO - 10.5220/0011537300003329