Purpose
The purpose of this paper is to deal with the formation of performance modeling and maintenance priorities for the water flow system (WFS) of a coal-based thermal power plant.
Design/methodology/approach
The system consists of five subsystems, i.e. condenser, condensate extraction pump, Low Pressure Heater, deaerator and boiler feed pump. The Chapman-Kolmogorov equations are generated on the basis of transition diagram and further solved recursively to obtain the performance modeling with the help of normalizing condition using Markov approach.
Findings
Availability matrices are formed with the help of different combinations of failures and repair rates of all subsystems. The performance of all subsystems is evaluated in terms of availability level achieved in availability matrices and plots of failure rates and repair rates of various subsystems. The maintenance priorities of various subsystems of WFS are decided on the basis of repair rate.
Originality/value
The adoption of both performance modeling and maintenance priorities decision by the management of thermal power plant will result in the enhancement of system availability and reduction in maintenance cost.
PurposeThis paper deals with the optimization of coal handling system performability for a thermal power plant.Design/methodology/approachCoal handling system comprises of five subsystems, namely Wagon Tippler, Crusher, Bunker, Feeder and Coal Mill. The partial differential equations are derived on the behalf of transition diagram by using the Markov approach. These partial differential equations are further solved to obtain the performance model with the help of normalization condition. Numerous performability levels are achieved by putting the appropriate combinations of failure and repair rates (FRRs) in performance model. Performability optimization for coal handling system is obtained by varying the population and generation size.FindingsHighest performability level, that is, 93.33 at population size of 40 and 93.31 at generation size of 70, is observed.Originality/valueThe findings of this paper highlight the optimum value of performability level and FRRs for numerous subsystems. These findings are highly beneficial for plant administration to decide about the maintenance planning.
Obtaining system availability in an engineering design is trickish and
challenging, especially when there is a reduction in capacity; however, it
supports system maintainability. In this paper, a mathematical model for
finding the availability under the reduced capacity has been proposed using
the Chapman Kolmogorov approach with the help of transition diagrams
associated with various possible combinations of probabilities. The paper
observes the most critical subsystem by selecting variable failure and
repair rates from different subsystems. It deals with the sensitivity
analysis of a complex repairable threshing combined machine comprising
subsystems in a series configuration and the threshing machine consisting of
21 subsystems. The device works in total capacity when the threshing drum
and feeding Hooper work in the complete state, and the concave subsystem and
blower work with reduced power. This study dealt with uncertain data and was
analyzed analytically using a complex repairable system. The availability of
the entire machine has been investigated analytically, and various
availability indices such as subsystems extruder have been computed and
reported. The study discovered that subsystem extruder has the most impact
on some subsystems? overall system availability.
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