Condition based Maintenance on Data Streams in Industry 4.0

Nadeem Iftikhar, Adrian Dohot

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: IN4PL, ISBN 978-989-758-612-5, pages 137-144. DOI: 10.5220/0011553500003329

in Bibtex Style

@conference{in4pl22,
author={Nadeem Iftikhar and Adrian 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 - Volume 1: IN4PL,},
year={2022},
pages={137-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011553500003329},
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 - Condition based Maintenance on Data Streams in Industry 4.0
SN - 978-989-758-612-5
AU - Iftikhar N.
AU - Dohot A.
PY - 2022
SP - 137
EP - 144
DO - 10.5220/0011553500003329