Ontology-Based Method for Fault Diagnosis of Loaders
AbstractThis 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Xu, F.; Liu, X.; Chen, W.; Zhou, C.; Cao, B. Ontology-Based Method for Fault Diagnosis of Loaders. Sensors 2018, 18, 729.
Xu F, Liu X, Chen W, Zhou C, Cao B. Ontology-Based Method for Fault Diagnosis of Loaders. Sensors. 2018; 18(3):729.Chicago/Turabian Style
Xu, Feixiang; Liu, Xinhui; Chen, Wei; Zhou, Chen; Cao, Bingwei. 2018. "Ontology-Based Method for Fault Diagnosis of Loaders." Sensors 18, no. 3: 729.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.