Affiliation:
1. Haryana Institute of Engineering and Technology, Haryana College of Technology and Management, Kaithal (Haryana), India
2. Mechanical Engineering, NIT, Kurukshetra (Haryana), India
Abstract
The present paper deals with the opportunities for the availability predictive modeling of a thermal plant using Markov process and probabilistic approach. These opportunities will be identified by evaluation of a predictive model to be built for the steam generation system of a thermal power plant. This feasibility study covers two areas: development of a predictive model and evaluation of performance with the help of developed model. The present system under study consists of five subsystems with three feasible states: full working, reduced capacity working and failed. After drawing transition diagram, differential equations are generated and then a probabilistic simulated predictive model using Markov approach has been developed considering some assumptions. Availability matrix for each subsystem is also developed, which provide various availability levels. On the basis of this study, performance of each subsystem of steam generation system is evaluated and then maintenance decisions are made for subsystems.
Publisher
World Scientific Pub Co Pte Lt
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science
Cited by
8 articles.
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