ISSN:
1662-9752
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Engineering assets are fundamentally important to enterprises. Thus, making the best useof engineering assets attracts equipment and system engineers’ attention. The state-of-the-artresearches contribute to asset condition monitoring, asset symptom diagnosis, asset health prognosis,and the integration of above knowledge. However, they still lack the combination with enterpriseresources to determine the best maintenance/renewal time for the optimization of total enterprisebenefits. Consequently, this paper proposes the integrated architectural framework, activity andprocess models of a multi-agent system called agent-based integrated engineering asset management(AIEAM) based on agent techniques to build collaborative environment for asset manager, diagnosisexpert, prognosis expert and enterprise resource manager. An engineering asset management case (forrepair and maintenance of automatic parking tower) applying the proposed architecture and models isdepicted in the paper
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/02/19/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.594.481.pdf
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