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Sensors 2018, 18(3), 729; https://doi.org/10.3390/s18030729

Ontology-Based Method for Fault Diagnosis of Loaders

School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
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Received: 21 December 2017 / Revised: 25 February 2018 / Accepted: 26 February 2018 / Published: 28 February 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
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Abstract

This paper proposes an ontology-based fault diagnosis method which overcomes the difficulty of understanding complex fault diagnosis knowledge of loaders and offers a universal approach for fault diagnosis of all loaders. This method contains the following components: (1) An ontology-based fault diagnosis model is proposed to achieve the integrating, sharing and reusing of fault diagnosis knowledge for loaders; (2) combined with ontology, CBR (case-based reasoning) is introduced to realize effective and accurate fault diagnoses following four steps (feature selection, case-retrieval, case-matching and case-updating); and (3) in order to cover the shortages of the CBR method due to the lack of concerned cases, ontology based RBR (rule-based reasoning) is put forward through building SWRL (Semantic Web Rule Language) rules. An application program is also developed to implement the above methods to assist in finding the fault causes, fault locations and maintenance measures of loaders. In addition, the program is validated through analyzing a case study. View Full-Text
Keywords: loaders; fault diagnosis; ontology; CBR; RBR loaders; fault diagnosis; ontology; CBR; RBR
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Xu, F.; Liu, X.; Chen, W.; Zhou, C.; Cao, B. Ontology-Based Method for Fault Diagnosis of Loaders. Sensors 2018, 18, 729.

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