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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/1555

Title: Machinery condition monitoring system selection - A multi-objective decision approach using GA
Authors: VERMA, AK
SRIVIDYA, A
RAMESH, PG
Keywords: process engineering
decision support system
maintainability
industrial engineering
Issue Date: 2008
Publisher: IEEE
Citation: Proceedings of the 1st International Conference on Emerging Trends in Engineering and Technology, Nagpur, Maharashtra, India, 16-18 July 2008, 787-792
Abstract: In this paper, a framework for Condition Based Maintenance (CBM) of large engineering systems has been suggested to address the need to optimize the characteristics of both the condition monitoring system and the plant that is being maintained at a macro level. CBM for large engineering systems has been modeled using Markov process. The issues which are critical to CBM, namely, predictability, detectability as well as implications of availability and cost have been considered in the framework to provide effective decision support. The application of the framework has been demonstrated using a numerical example. The trade offs between the Pareto optimal solutions of various objectives have been studied and the effects of variation of the maintenance objective function values with detectability and predictability have been brought out.
URI: 10.1109/ICETET.2008.127
http://hdl.handle.net/10054/1555
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1555
ISBN: 9780769532677
Appears in Collections:Proceedings papers

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