Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance

Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Beuvron, Christoph Reich

Abstract

In smart factories, machinery faults and failures are detrimental to the efficiency and reliability of production systems. To ensure the smooth operation of production systems, predictive maintenance techniques have been widely used in a variety of contexts. In this paper, we tackle the machinery failure prediction task by introducing a novel hybrid ontology-based approach. The proposed approach is based on the combined use of evidential theory tools and semantic technologies. Among evidential theory tools, the Evidential C-means (ECM) algorithm is used to assess the criticality of failures according to two main parameters (time constraints and maintenance cost). In addition, domain ontologies with their rule-based extensions are used to formalize the domain knowledge and predict the time and criticality of future failures. Case studies on synthetic data sets and a real-world data set are used to validate the proposed approach.

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Paper Citation


in Harvard Style

Cao Q., Samet A., Zanni-Merk C., de Beuvron F. and Reich C. (2020). Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 618-625. DOI: 10.5220/0008969506180625


in Bibtex Style

@conference{icaart20,
author={Qiushi Cao and Ahmed Samet and Cecilia Zanni-Merk and François de Beuvron and Christoph Reich},
title={Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={618-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008969506180625},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance
SN - 978-989-758-395-7
AU - Cao Q.
AU - Samet A.
AU - Zanni-Merk C.
AU - de Beuvron F.
AU - Reich C.
PY - 2020
SP - 618
EP - 625
DO - 10.5220/0008969506180625