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Stochastic Analysis and Maintenance Planning of Turbine Unit in a Thermal Power Plant


Affiliations
1 Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal (Sonepat)-131039, India
     

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The paper discusses the stochastic analysis and maintenance planning for Turbine unit in a thermal power plant. The unit having five sub-systems. Failure and repair rates are assumed to be constant. The mathematical model of Turbine unit has been developed on the basis of probabilistic approach using Markov Birth-Death Process. The differential equations have been made using transition diagram which are further solved recursively by using normalizing conditions in order to develop the performance model for stochastic analysis using steady state availability. The critical subsystems are identified with the help of performance analysis in terms of various Availability levels for different combinations of failures and repair rates. The maintenance planning of identified critical subsystems are proposed in order to have maintenance scheduling. The results of this paper will be highly beneficial to the plant management for futuristic maintenance planning and control of the system concerned in the plant.

Keywords

Stochastic Analysis, Steady State Availability, Maintenance Planning, Maintenance Scheduling, Performance.
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  • Stochastic Analysis and Maintenance Planning of Turbine Unit in a Thermal Power Plant

Abstract Views: 222  |  PDF Views: 4

Authors

A. Ravinder Kumar
Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal (Sonepat)-131039, India

Abstract


The paper discusses the stochastic analysis and maintenance planning for Turbine unit in a thermal power plant. The unit having five sub-systems. Failure and repair rates are assumed to be constant. The mathematical model of Turbine unit has been developed on the basis of probabilistic approach using Markov Birth-Death Process. The differential equations have been made using transition diagram which are further solved recursively by using normalizing conditions in order to develop the performance model for stochastic analysis using steady state availability. The critical subsystems are identified with the help of performance analysis in terms of various Availability levels for different combinations of failures and repair rates. The maintenance planning of identified critical subsystems are proposed in order to have maintenance scheduling. The results of this paper will be highly beneficial to the plant management for futuristic maintenance planning and control of the system concerned in the plant.

Keywords


Stochastic Analysis, Steady State Availability, Maintenance Planning, Maintenance Scheduling, Performance.