A SOFT COMPUTING FRAMEWORK FOR RELIABILITY ANALYSIS OF THERMAL POWER PLANTS
Keywords:
Maintainability analysis, parametric method, process industries, Reliability analysis.Abstract
The thermal power plant is an assembly of various mechanical and electrical equipments which
helps in the production, generation and transmission of electric power. In this process, there are several
components which undergo repairs and failures due to various factors such as wear, temperature and so on.
Hence, there is a need to estimate the reliability of these components as well as for the entire system for proper
functioning and its safety.
In the present work, the most important equipments of a thermal power plant are considered for reliability
analysis. These equipments are turbine, boiler, compressor, generator and condenser which consists the
maximum failures due to their rapid working and large no. of components .The frequent failure of the
components both uneconomical and hazardous problems for the entire plant.
In this work, reliability analysis has been performed for all the machines using empirical and parametric
methods and a comparison between these methods has been performed and it has been observed that
parametric method gives more accurate and efficient results than empirical method. To simplify the traditional
analysis, in this work a software package using html language has been developed which gives quick
implementation of reliability analysis of systems. It is very useful for the managers and supervisors in the
process industries for reliability and maintainability analysis and to implement better maintenance policies.