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Issue title: Selected Papers from the 14th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2009), Part II
Article type: Research Article
Authors: Chang, Qia | Yuan, Shenfanga
Affiliations: [a] The Aeronautic Key Laboratory of Smart Material and Structure, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
Abstract: Health Management System has become a methodological tendency treating the modern complex system in terms of safety and economics. OSA-CBM has been widely accepted as a standard architecture of the Health Management System. According to the architecture, an open and configurable knowledge management system is required to function as the key to the Health Management System. Through the ontology modeling of the domain knowledge, the sharing and reuse of the knowledge can be achieved. Building the related reasoning rules and with the help of reasoner, domain knowledge involved in health management can be inferred. With this knowledge, the related functional agent can be organized into a multi-agent system to achieve the health management task. A strategy of voting mechanism is proposed in data fusion to improve the veracity and reliability of diagnosis. A system of bolt health management system is shown to verify the system and its efficiency.
Keywords: Health management, knowledge engineering, CBM, knowledge modeling, knowledge management, ontology, agent
DOI: 10.3233/JAE-2010-1208
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 33, no. 3-4, pp. 961-971, 2010
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