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Research on the Fault Diagnostic of the Aircraft Cross-Linking Systems
Author(s) -
Liye Ma
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2220/1/012013
Subject(s) - troubleshooting , petri net , fault (geology) , process (computing) , computer science , aircraft maintenance , fuzzy logic , systems engineering , software , reliability engineering , software engineering , artificial intelligence , engineering , distributed computing , programming language , aeronautics , seismology , geology
High complexity of modern civil aircraft system leads to a huge difficulty to its trouble-shooting. This paper firstly discussed the two main directions of improving the aircraft fault diagnosis capability, and then analysed the pain points encountered by the model-based troubleshooting method. For the pain points, the Colour Fuzzy Fault Petri Net (CFFPN) model was proposed. The basic principles of the model and the basic process of conducting forward and reverse reasoning diagnosis based on the model were illustrated. Then the application of reasoning process in system design integration and airline maintenance was expounded. Finally, a practical software prototype of the model was developed, and effectiveness of the method and model was demonstrated through applications in engineering practice.

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