Title: Fuzzy fault tree analysis method of denitration system in thermal power plants

Authors: Xiong Wei; Teng Wang; Xu Wang; Jiajun Ma; Guangjie Li; Qiang Zhan; Dandan Wu; Jiancun Zuo

Addresses: School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

Abstract: Denitration System (DS) is an important part of the production of thermal power plants, and any failure that occurs during its operation will seriously affect the productivity and safety of thermal power plants. Therefore, this paper proposes a Fuzzy Fault Tree (FFT) analysis method for DS of thermal power plants. Firstly, the theory of FFT is described, then the process flow of DS is introduced, the main faults in the operation of the system are analysed and the FFT is established for the main faults. The ambiguity of the basic event probability is solved by fuzzy set theory and expert judgment. After qualitative and quantitative analysis, the weak parts of the system and the degree of importance of the basic events are evaluated, so that it's of great significance to formulate protective measures in advance for the weak links of the system.

Keywords: fuzzy fault tree; denitration system of thermal power plant; fuzzy number; language variables; expert evaluation; industrial safety.

DOI: 10.1504/IJRS.2024.142066

International Journal of Reliability and Safety, 2024 Vol.18 No.4, pp.381 - 396

Received: 28 Mar 2023
Accepted: 12 Mar 2024
Published online: 07 Oct 2024 *

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