Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/12944
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dc.contributor.authorGupta, S.-
dc.contributor.authorTewari, P.C.-
dc.date.accessioned2020-03-31T08:42:30Z-
dc.date.available2020-03-31T08:42:30Z-
dc.date.issued2009-
dc.identifier.citationJournal of Industrial Engineering and Management, 2009, Vol.2, 2 Special Issue, pp.387-406en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/12944-
dc.description.abstractThe present paper deals with the opportunities for the modeling of flue gas and air system of a thermal power plant by making the performance evaluation using probabilistic approach. The present system of thermal plant under study consists of four subsystems with three possible states: full working, reduced capacity working and failed. Failure and repair rates for all the subsystems are assumed to be constant. Formulation of the problem is carried out using Markov Birth-Death process using probabilistic approach and a transition diagram represents the operational behavior of the system. Interrelationship among the full working and reduced working states has been developed. A probabilistic model has been developed, considering some assumptions. Data in feasible range are selected from a survey of thermal plant and the effect of each subsystem on the system availability is tabulated in the form of availability matrices, which provides various performance/availability levels for different combinations of failure and repair rates of all subsystems. Based upon various availability values obtained in availability matrices and graphs of failure/repair rates of different subsystems, performance and optimum values of failure/repair rates for maximum availability, of each subsystem is analyzed and then maintenance priorities are decided for all subsystems. JIEM, 2009.en_US
dc.titleSimulation modeling and analysis of a complex system of a thermal power planten_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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