Research on Fault Diagnosis of Complex System Based on Bayesian Network

Wang, Guimei; Zhang, Yongshuo; Liu, Dianhui

doi:10.12783/dtetr/mime2016/10204

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Fault Diagnosis Methods Based On Petri Net1

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2024

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“…In the study of aircraft complex systems, Petri net [13] is one of the most representative graphical model analysis methods. Petri Net can effectively solve the problems of complex system correlation and uncertainty, and has the advantages of easy to understand and easy to implement by computer.…”

Section: Fault Diagnosis Methods Based On Petri Netmentioning

confidence: 99%

Fault diagnosis for the aircraft system

Chu,

Yin

2024

International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023)

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The complexity of modern aircraft systems makes the causes of aircraft faults complex and diverse, resulting in difficulty in fault location. This paper elaborates the related research of fault diagnosis for the aircraft system and labors intelligent methods of fault diagnosis. In the fault diagnosis test based on the actual fault data reported by a certain type of aircraft, the fault location accuracy of the fusion method is generally better than that of the single method, and fusion diagnosis method based on rough set theory and BP network is the best. Obviously, it is an inevitable trend that different diagnosis methods are effectively fused to locate automatically the fault of aircraft system.

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Section: Fault Diagnosis Methods Based On Petri Netmentioning

confidence: 99%