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An Availability Measurement of Multi Component Power Plant by using Boolean Function Technique under different Distributions

Kashiful Haq, Yusuf Perwej in Circuits and Systems

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Kashiful Haq, Yusuf Perwej
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  1. Kashiful Haq and Yusuf Perwej. An Availability Measurement of Multi Component Power Plant by using Boolean Function Technique under different Distributions. International Journal of Applied Information Systems 12(33):20-26, September 2020. URL, DOI BibTeX

    	author = "Kashiful Haq and Yusuf Perwej",
    	title = "An Availability Measurement of Multi Component Power Plant by using Boolean Function Technique under different Distributions",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "September 2020",
    	volume = 12,
    	number = 33,
    	month = "September",
    	year = 2020,
    	issn = "2249-0868",
    	pages = "20-26",
    	url = "",
    	doi = "10.5120/ijais2020451881",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


The most essential part of our daily life is electricity. With the absence of it, every living human being will be sent to dark ages and in fact life itself would be incomplete and miserable without it. A power plant is an industrial facility that generates electricity from primary energy. Most power plants use one or more generators that convert mechanical energy into electrical energy in order to supply power to the electrical grid for society's electrical needs. In this research paper we have tried hard to calculate the reliability of a complex power plant with three generators, so that their future behaviour can be monitored and controlled for uninterrupted electrical power supply to the society.


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MTTF (Mean Time to Failure), R (Reliability), Q (Unreliability), Pr (Probability), RS (Reliability State), RSW (Reliability State using Weibull Distribution), RSE (Reliability State using Exponential Distribution)