Gas Turbine Assimilation Under Copula-Coverage Approaches

Ram, Mangey; Goyal, Nupur

doi:10.1007/978-3-319-17825-7_7

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…, λ CST = 0 001 . , µ( ) x =1 (Manglik & Ram, 2015;Ram & Goyal, 2015), in Equation( 19) and taking the inverse Laplace transformation. After varying the time unit t from 0 to 15 and coverage factor at c=0.1, 0.5, 1 respectively, one have the availability of designed thermal power plant as shown in Table 2 and graphically demonstrated in Figure 3.…”

Section: Availability Analysismentioning

confidence: 99%

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Thermal Power Plant Modelling with Fault Coverage Stochastically

Goyal

Ram

Bhardwaj

et al. 2016

International Journal of Manufacturing, Materials, and Mechanical Engineering

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The present research work proposes a mathematical model of thermal power plant to analyse its performance through reliability measures. Evaluation of reliability measure for thermal power plant is a complex process. The thermal power plant is modelled using Markov process and explored the reliability measures with supplementary variable technique. Also the expected profit to the operation and maintenance of the thermal power plant has been discussed. Failures exist in the thermal power plant affect the performance of the plant, so, to enhance the performance of the plant, authors employs fault coverage technique and demonstrated the effect of fault coverage and component failure on reliability measures graphically by taken some numerical examples for the practical utility.

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Section: Availability Analysismentioning

confidence: 99%

“…, λ CST = 0 001 . , µ( ) x =1 in Equation ( 19) (Manglik & Ram, 2015;Ram & Goyal, 2015), and taking the inverse Laplace transformation. One can obtain the reliability of the thermal power plant after varying the time t form 0…15 and coverage factor c = 0.1, 0.5, 1 respectively, which is shown in Table 3 and Figure 4.…”

Section: Reliability Analysismentioning

confidence: 99%