Fuzzy Fault Tree Analysis Method and Its Application in Fault Diagnosis of Denitration System in Thermal Power Plant
Xiong Wei, Xianxun Zhu, Xu Wang, Zhiyang Zhao, Jiancun Zuo
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.
Topics & Concepts
Fast Fourier transformFault tree analysisFault (geology)Fuzzy logicComputer scienceField (mathematics)Reliability engineeringControl engineeringAlgorithmArtificial intelligenceEngineeringMathematicsPure mathematicsGeologySeismologyAdvanced Computational Techniques and ApplicationsFault Detection and Control SystemsAdvanced Sensor and Control Systems