Condition based Maintenance on Data Streams in Industry 4.0

Nadeem Iftikhar; Adrian Mihai Dohot

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Paper

Condition based Maintenance on Data Streams in Industry 4.0

Topics: Artificial Intelligence Techniques applied to Industry 4.0; Data Analytics

In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1, 137-144, 2022 , Valletta, Malta

Authors: Nadeem Iftikhar and Adrian Mihai Dohot

Affiliation: Department of Computer Science, University College of Northern Denmark, Sofiendalsvej 60, Aalborg, Denmark

Keyword(s): Predictive Maintenance, Condition Monitoring, Smart Manufacturing, Sensor Data, Unlabeled Data, Unsupervised Machine Learning.

Abstract: An asset failure is costly for the manufacturing industry as it causes unplanned downtime. Unplanned downtime halts production lines, and can lead to productivity loss. One of the widely used methods to reduce downtime is to make use of condition based maintenance. The goal of condition based maintenance is to monitor as well as detect present and/or upcoming asset failures and thus reduce unplanned downtime. A newly emerged phenomena is to monitor the asset condition at real-time. Thus, this paper presents the techniques to process data-in-motion in order to monitor the health and condition of industrial assets in real-time. The techniques presented in this paper require no historical and/or labeled data and work well on streaming data.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Iftikhar, N. and Dohot, A. (2022). Condition based Maintenance on Data Streams in Industry 4.0. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL; ISBN 978-989-758-612-5; ISSN 2184-9285, SciTePress, pages 137-144. DOI: 10.5220/0011553500003329

@conference{in4pl22,
author={Nadeem Iftikhar. and Adrian Mihai Dohot.},
title={Condition based Maintenance on Data Streams in Industry 4.0},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL},
year={2022},
pages={137-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011553500003329},
isbn={978-989-758-612-5},
issn={2184-9285},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL
TI - Condition based Maintenance on Data Streams in Industry 4.0
SN - 978-989-758-612-5
IS - 2184-9285
AU - Iftikhar, N.
AU - Dohot, A.
PY - 2022
SP - 137
EP - 144
DO - 10.5220/0011553500003329
PB - SciTePress