A research on intelligent fault diagnosis of wind turbines based on ontology and FMECA

Advanced Engineering Informatics

Volumn 29, Issue 1, 2015, Pages 115-125

  Zhou, Anmei ^a   Yu, Dejie ^a   Zhang, Wenyi ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

FMECA; Intelligent fault diagnosis; Ontology; Wind turbine

Indexed keywords

DECISION MAKING; ELECTRIC UTILITIES; KNOWLEDGE BASED SYSTEMS; MAINTENANCE; ONTOLOGY; PRODUCT DESIGN; WIND POWER; WIND TURBINES;

CRITICALITY ANALYSIS; DIAGNOSTIC DECISION MAKINGS; DIAGNOSTIC EFFICIENCY; DIAGNOSTIC KNOWLEDGE; FMECA; INTELLIGENT FAULT DIAGNOSIS; KNOWLEDGE SOURCES; MAINTENANCE PERSONNEL;

FAULT DETECTION;

EID: 84926087284     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2014.10.001     Document Type: Article

References (34)

1. Y. Amirat, M.E.H. Benbouzid, E. Al-Ahmar, B. Bensaker, S. Turri, A brief status on condition monitoring and fault diagnosis in wind energy conversion systems, Renew. Sustain. Energy Rev. 13 (2009) 2629-2636.
2. F.P. García Márquez, A.M. Tobias, J.M. Pinar Pérez, M. Papaelias, Condition monitoring of wind turbines: techniques and methods, Renew. Energy 46 (2012) 169-178.
3. N. Snooke, C. Price, Automated FMEA based diagnostic symptom generation, Adv. Eng. Inform. 26 (2012) 870-888.
4. I. Horrocks, P.F. Patel-Schneider, F. Harmelen van, From SHIQ and RDF to OWL: the making of a Web Ontology Language, Web Semantics: Sci., Serv. Agents World Wide Web 1 (2003) 7-26.
5. I. Herman, I. Horrocks, P.F. Patel-Schneider, OWL 2 web Ontology Language Document Overview, second ed., 2012.
6. I. Horrocks, P.F. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, M. Dean, SWRL: a Semantic Web Rule Language Combining OWL and RuleML, 2004.
7. C.C. Chen, K. Chen, C.-Y. Hsu, Y.-C.J. Li, Developing guideline-based decision support systems using protégé and jess, Comput. Methods Programs Biomed. 102 (2010) 288-294.
8. J. Li, H. Xu, Reliability analysis of aircraft equipment based on FMECA method, Phys. Procedia 25 (2012) 1816-1822.
9. H.R. Feili, N. Akar, H. Lotfizadeh, M. Bairampour, S. Nasiri, Risk analysis of geothermal power plants using failure modes and effects analysis (FMEA) technique, Energy Convers. Manage. 72 (2013) 69-76.
10. M. Kolich, Using failure mode and effects analysis to design a comfortable automotive driver seat, Appl. Ergonom. 45 (2014) 1087-1096.
11. H. Arabian-Hoseynabadi, H. Oraee, P.J. Tavner, Failure modes and effects analysis (FMEA) for wind turbines, Int. J. Electr. Power Energy Syst. 32 (2010) 817-824.
12. R. Elhdad, N. Chilamkurti, T. Torabi, An ontology-based framework for process monitoring and maintenance in petroleum plant, J. Loss Prev. Process Ind. 26 (2013) 104-116.
13. S. Verstichel, F. Ongenae, L. Loeve, F. Vermeulen, P. Dings, B. Dhoedt, T. Dhaene, F.D. Turck, Efficient data integration in the railway domain through an ontology-based methodology, Trans. Res. Part C: Emerg. Technol. 19 (2011) 617-643.
14. T.R. Gruber, A translation approach to portable ontology specification, Knowl. Acquis. 5 (1993) 199-220.
15. D. Yang, R. Miao, H. Wu, Y. Zhou, Product configuration knowledge modeling using ontology web language, Expert Syst. Appl. 36 (2009) 4399-4411.
16. D. Yang, M. Dong, R. Miao, Development of a product configuration system with an ontology-based approach, Comput. Aided Des. 40 (2008) 863-878.
17. L. Lezcano, M.-A. Sicilia, C. Rodríguez-Solano, Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules, J. Biomed. Inform. 44 (2011) 343-353.
18. C. Vidal-Castro, M.-Á. Sicilia, M. Prieto, Representing instructional design methods using ontologies and rules, Knowl.-Based Syst. 33 (2012) 180-194.
19. V. Premkumar, S. Krishnamurty, J.C. Wileden, I.R. Grosse, A semantic knowledge management system for laminated composites, Adv. Eng. Inform. 28 (2014) 91-101.
20. C.-S. Lee, M.-H. Wang, Ontology-based intelligent healthcare agent and its application to respiratory waveform recognition, Expert Syst. Appl. 33 (2007) 606-619.
21. Z. Cheng, X. Jia, P. Gao, S. Wu, J. Wang, A framework for intelligent reliability centered maintenance analysis, Reliab. Eng. Syst. Safety 93 (2008) 806-814.
22. C. Lee, M. Wang, J. Chen, Ontology-based intelligent decision support agent for CMMI project monitoring and control, Int. J. Approximate Reasoning 48 (2008) 62-76.
23. A. Widodo, B.-S. Yang, D.-S. Gu, B.-K. Choi, Intelligent fault diagnosis system of induction motor based on transient current signal, Mechatronics 19 (2009) 680-689.
24. H. Liu, X.-H. Dong, Z.-L. Yang, K. Zheng, The application of intelligent fuzzy inference to the fault diagnosis in pitch-controlled system, Energy Procedia 16 (2012) 1839-1844. Part C.
25. D. Dou, J. Yang, J. Liu, Y. Zhao, A rule-based intelligent method for fault diagnosis of rotating machinery, Knowl.-Based Syst. 36 (2012) 1-8.
26. Z. Yang, B. Wang, X. Dong, H. Liu, Expert system of fault diagnosis for gear box in wind turbine, Syst. Eng. Procedia 4 (2012) 189-195.
27. T. Boutros, M. Liang, Detection and diagnosis of bearing and cutting tool faults using hidden Markov models, Mech. Syst. Signal Process. 25 (2011) 2102-2124.
28. H. Wang, Y. Chen, C.W.H. Chan, J. Qin, J. Wang, Online model-based fault detection and diagnosis strategy for VAV air handling units, Energy Build. 55 (2012) 252-263.
29. R. LI, L.y. ZHANG, X.p. GU, H.m. LI, Distributed fault diagnosis of power networks applying the united rules mining algorithm based on rough set theory, Proc. CSEE 30 (2010) 28-34.
30. E. Friedman, Jess in Action: Rule-based Systems in Java, Manning Publications Co., 2003.
31. Racer Systems GmbH & Co. KG, 2013.
32. Jena, Reasoners and rule engines: Jena inference support, 2010.
33. The Protégé Ontology Editor and Knowledge Acquisition System
34. F. Alkhateeb, J.F. Baget, J. Euzenat, Extending SPARQL with regular expression patterns (for querying RDF), Web Semantics: Sci., Serv. Agents World Wide Web 7 (2009) 57-73.