Triangular Neutrosophic Fuzzy Reliability Assessment of a Coal Ash Handling System in Thermal Power Plant

Abstract

The fundamental role of reliability in the coal ash handling system is to improve the 
overall performance of the system over a specific period without any failure. A coal ash handling 
system is a complicated structure with five subsystems connected in series configuration. In these 
two subsystems, namely Electrostatic Preceptor subsystem and Fly Ash Silo Store Subsystem are 
configured into parallel redundancy. Due to the complexity of modern approaches and fault tree 
analysis systems,  the conventional approaches like Markov birth- death process, semi-Markov 
have failed to deal with data like incompleteness, inconsistency, and uncertainty. The main objective 
of the present study is to introduce a novel approach to calculate the reliability of a coal ash handling 
system in a thermal power plant using the universal generating function. Moreover, the fuzzy 
Neutrosophic method like triangular Neutrosophic fuzzy numbers with Weibull distribution is 
used to analyze the fuzzy variables and   evaluate the system’s performance by offering reliable 
results in three dimensions: truth, indeterminacy, and false membership functions. The results  
highlighted  the behavior of the fuzzy reliability in the coal ash handling unit  under various shape 
parameters £ (£=0.5, 0.7, and 1) at discrete time  intervals t (t= 0, 5, and 10). Also, for better clarity 
the results of fuzzy Neutrosophic reliability are presented graphically. That shows the highest 
achieved reliability  of the coal ash handling system is 0.999965. The outcomes of these studies will 
serve as realistic guidance  for engineers to solve complex reliability problems in real-world 
scenarios. 

DOI: 10.5281/zenodo.16884361