1Mechanical Engineering, HCTM, Kaithal (Haryana), India.
2Mechanical Engineering, NIT, Kurukshetra (Haryana), India.
3Department of Mechanical Engineering, D.C.R. University of Sc. & Technology, Murthal (Sonepat)-131039, INDIA.
Indicates the system is in working state. Indicates the system is in failed state. Represent full working states of Wagon tippler, Screener, Feeder, Hopper and Conveyor respectively. Represent standby systems of Wagon tippler and Conveyor respectively. Represent failed states of Wagon tippler, Screener, Feeder, Hopper and Conveyor respectively. Probabilities of the system working with full capacity at time ‘t’. Probabilities of the system in cold standby (working) state. Probabilities of the system in failed state. Mean failure rate of A, B, C, D, E respectively. Mean rate of repairs of A, B, C, D, E respectively. Represents derivative w.r.t. time (t).
The present paper describes the development of performance evaluation model and decision support system for Coal handling system of a thermal plant by making the performance analysis using probability theory and Markov Birth-Death process. The Coal handling system consists of five subsystems. Taking constant failure and repair rates for all the subsystems, the mathematical formulation is done using the Markov birth-death process. An expression for steady state availability i.e. measure of performance is derived. After drawing transition diagram, differential equations have been generated. After that, steady state probabilities are determined. Besides, one decision matrix is also developed, which provide various performance/availability levels for different combinations of failure and repair rates of all subsystems. Based upon various availability values obtained in decision matrix, performance of each subsystem is analyzed and then maintenance priorities are decided for all subsystems.
Performance analysis, Decision support system, Decision matrix
