
Statistical approach for analyzing the transient reliability of boiler System using CAS Mathematica
Author(s) -
Yakshi Bahl,
Tarun Kumar Garg
Publication year - 2021
Publication title -
journal of business management and information systems
Language(s) - English
Resource type - Journals
ISSN - 2394-3130
DOI - 10.48001/jbmis.2021.0801001
Subject(s) - boiler (water heating) , reliability engineering , probabilistic logic , computer science , markov chain , transient (computer programming) , markov process , reliability (semiconductor) , electric power system , algorithm , engineering , mathematics , power (physics) , statistics , programming language , artificial intelligence , physics , machine learning , waste management , quantum mechanics
The focal point of this manuscript is to address the reliability analysis of Boiler unit in the Thermal power plant driven from coal. It is made up of six subunits laid out in series and parallel manner, alongwith some standby units. The system under consideration is modelled in transient state aided by Markov birth-death process and CAS Mathematica is deployed to solve the resulting complicated system of probabilistic equations arising out of 8 working states.