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Fuzzy Fault Tree Analysis Method and Its Application in Fault Diagnosis of Denitration System in Thermal Power Plant

Published: 09 April 2021 Publication History

Abstract

The Fuzzy Fault Tree (FFT) analysis method is an important fault diagnosis tool in the current engineering field, and has become one of the research hotspots at home and abroad. This paper introduces the basic principle of FFT analysis method and compares the advantages and disadvantages of various FFT algorithms and their impact on system performance in detail. It also proposes an FFT analysis method in the fault diagnosis of the denitration system in thermal power plants, and finally forecasts the development prospects of FFT.

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cover image ACM Other conferences
ICIT '20: Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City
December 2020
266 pages
ISBN:9781450388559
DOI:10.1145/3446999
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 09 April 2021

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Author Tag

  1. Fuzzy fault tree,Fault diagnosis,Denitration system,Fuzzy number

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ICIT 2020
ICIT 2020: IoT and Smart City
December 25 - 27, 2020
Xi'an, China

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