Towards a Core Ontology for Condition Monitoring

Qiushi Cao (1) , Cecilia Zanni-Merk (1, 2) , Christoph Reich (3)

1 MIND - LITIS - Equipe Multi-agent, Interaction, Décision
2 INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie
3 HFU - Hochschule Furtwangen University [Furtwangen]

Condition monitoring is performed to identify the functioning state of a machine or a mechanical system. It is an important task by which the machine or mechanical system deterioration tendency and the location of a failure can be detected. In recent years, ontologies have shown promising results to enhance knowledge sharing in condition monitoring tasks, while offering a logically defined and controlled vocabulary of domain entities. Motivated by the growing demand for unification and formal representation of useful concepts in condition monitoring, in this paper we present CM-core, an ontology of core condition monitoring entities. It incorporates several ISO standards as sources and also extracts general concepts from a series of domain ontologies. The ontology contains taxonomies of core condition monitoring concepts such as system, function, behavior, structure, state, failure and fault, with their interrelationships. The CM-core ontology has a broader domain coverage than the existing ontologies, and its generality ensures further specification into more specific domain ontologies.

Mots clés: Condition monitoring; Conceptual model; Core ontology; State of the system or machine; Ontology engineering

Domaines: Intelligence artificielle [cs.AI]

Qiushi Cao, Cecilia Zanni-Merk, Christoph Reich. Towards a Core Ontology for Condition Monitoring. CARV 2018 - FOMI Workshop, Oct 2018, Nantes, France. pp.177--182, ⟨10.1016/j.promfg.2018.12.029⟩. ⟨hal-02045053⟩