Research on comprehensive decision-making of PV power station connecting system

Xin, Chaoshan; Ma, Botao; Cheng, Kai

doi:10.1063/1.5033829

Cited by 1 publication

(1 citation statement)

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“…As computer technology, sensor technology, and control engineering continue to advance, the technology for diagnosing aircraft faults has advanced to the point of intelligent diagnosis, which combines knowledge processing, data processing, and diagnosis models [3] . For example, G. Y. Zhou [4] proposed an accurate and efficient troubleshooting comprehensive decision-making method for distribution system faults by using the fault tree method and expert system method. To accomplish effective and precise fault diagnosis of various types of airborne fuel pumps and rolling bearings, S. W. Dai et al [5] suggested a method based on fuzzy information granulation and fuzzy entropy for the unpredictability of vibration signals during operation.…”

Section: Introductionmentioning

confidence: 99%

Application of bayesian network based on fault tree in fault diagnosis of Radio Altimeter System

Gao

Yao

Shen

2023

J. Phys.: Conf. Ser.

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The radio altimeter system is an important part of the aircraft navigation system, the system failure will directly affect flight safety. Therefore, to ensure the safe flight of the aircraft, a fault diagnosis method based on fault trees and Bayesian networks was proposed in this paper. Firstly, starting from the system composition and working principle, taking the typical failure of the system ‘loss of radio altitude displays’ as an example, the fault trees were set up to comprehensively analyze the cause of the fault. On this basis, the built-in fault tree models were used to build the Bayesian network model, and to determine the maximum possible paths and key nodes of the fault through reverse reasoning to achieve the fault positioning. The outcomes demonstrate the excellent accuracy and dependability of the proposed method.

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Section: Introductionmentioning

confidence: 99%