A civil aircraft complex system fault diagnosis method based on a Bayesian network
A Bayesian network and complex system technology, applied in the field of fault diagnosis of civil aircraft complex systems based on Bayesian network, can solve the problems of lack, slow troubleshooting, affecting airline flight plans and economic benefits, and achieve fast and accurate Effects of Troubleshooting, Safeguarding Arrangements, Excellent Learning and Thrust Performance
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[0041] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments.
[0042] A fault diagnosis method for civil aircraft complex systems based on Bayesian network, the flow chart is as follows figure 1 shown, including:
[0043] S1. According to the working principle of the air conditioning system and the aircraft AMM (AIRCRAFT MAINTENANCE MANUAL, aircraft maintenance manual), FIM (FAULT ISOLATION MANUAL, fault isolation) manuals, determine the parameters that need to be collected for the complex system of the aircraft, and use the built-in sensors of the air conditioning system to detect each Class parameters to find out all kinds of monitoring parameters that have a strong correlation with the system. According to different flight stages, bleed air temperature (BAT, Bleed air temperature), bleed air pressure (BAP, B...
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