Ontology-based Fault Diagnosis-Reference-Cited by-同舟云学术

Ontology-based Fault Diagnosis

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Conference on Computer Modeling and Simulation - ICCMS 2019
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Author:

Liu Bin¹,Wu Junfeng¹,Yao Li¹,Ding Zheyuan¹

Affiliation:

1. College of System Engineering, National University of Defense Technology, Changsha, China

Publisher

ACM Press

Reference30 articles.

1. AKBARI, A., SETAYESHMEHR, A., BORSI, H., GOCKENBACH, E., and FOFANA, I., 2010. Intelligent agent-based system using dissolved gas analysis to detect incipient faults in power transformers. IEEE Electrical Insulation Magazine 26, 6, 27--40.

2. CASTRO, A., SEDANO, A.A., GARC A, F.J., VILLOSLADA, E., and VILLAGR, V.A., 2018. Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis. Sensors 18, 1, 68.

3. CHEN, J. and PATTON, R.J., 2012. Robust model-based fault diagnosis for dynamic systems. Springer Science & Business Media.

4. CHEN, R., ZHOU, Z., LIU, Q., and PHAM, D.T., 2015. Knowledge modeling of fault diagnosis for rotating machinery based on ontology. In IEEE International Conference on Industrial Informatics, 1050--1055.

5. DENDANI-HADIBY, N. and KHADIR, M.T., 2012. A case based reasoning system based on domain ontology for fault diagnosis of steam turbines. International Journal of Hybrid Information Technology 5, 3, 89--104.

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