Abstract
The purpose of this paper is to investigate a unit namely Condensate Structure of coal-fired thermal power plant. The data collected may not be exact. There may always be an imprecision due to human errors. To extract the useful information from the records, data have been tackled by tolerance in context of fuzzy logics. To handle the uncertainty in the data, two kinds of tolerances have been used. Fuzzification of data have been done using unilateral tolerance with the membership function as Right triangular generalized fuzzy numbers (RTrGFN) and bilateral tolerance with the membership function as generalized trapezoidal fuzzy numbers (GTFN). Using lambda-tau expressions, failure rate, and repair time for the entire structure has been calculated and all reliability parameters of Condensate structure have been calculated as well. The defuzzified values are also obtained for application purpose. This paper aimed at finding the performance of the structure and best possible way to increase the reliability of the structure. The results have been shown with the help of graphs and tables. Then, ranking has been used to identify the critical component of the system. Comparative study of the considered structure has been made between the results obtained by two different methodologies.



























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13 June 2023
A Correction to this paper has been published: https://doi.org/10.1007/s40815-023-01567-1
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Kumar, A., Dhiman, P. Comparative Analysis of Two Fuzzy Modeling Through Investigation of Condensate System. Int. J. Fuzzy Syst. 25, 2796–2815 (2023). https://doi.org/10.1007/s40815-023-01532-y
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DOI: https://doi.org/10.1007/s40815-023-01532-y