A civil aircraft complex system fault diagnosis method based on a Bayesian network

Abstract

The invention discloses a civil aircraft complex system fault diagnosis method based on a Bayesian network, relates to the field of civil aircraft complex system fault diagnosis, can effectively utilize data collected in the flight process of an aircraft and experience of an engineer to quickly and accurately remove faults, and guarantees arrangement of a normal flight plan of an airline. According to the invention, the problem that civil aircraft complex system route fault diagnosis and isolation consume time and labor is solved; the data acquired by the data recorder only needs to be analyzed after navigation; and then the mapping relation table of each node of the fault and fault presentation layer is input, the network can give out a corresponding diagnosis result, the method is more convenient and quicker than looking up a manual, the diagnosis result obtained through the change of actual data is more scientific, the maintenance cost can be saved for airlines, and the utilizationrate of airplanes is improved.

Description

technical field [0001] The invention relates to the field of fault diagnosis of complex systems of civil aircraft, in particular to a fault diagnosis method for complex systems of civil aircraft based on Bayesian networks. Background technique [0002] In recent years, with the rapid development of monitoring technology, modern commercial large aircraft have begun to be equipped with aircraft condition monitoring system (Aircraft condition monitoring system, ACMS), through a large number of sensors and detectors on the aircraft, ACMS can collect data during the operation of the aircraft A large amount of flight data, including environment, load, status and performance data, is stored in various recorders. In addition to data recording and storage, flight data related to a specific fault within a certain period of time can also be transmitted through the Aircraft communication addressing and reporting system (Aircraft communication addressing and reporting, ACARS) for real-ti...

AI Technical Summary

Problems solved by technology

[0004] At present, domestic airlines mainly rely on the troubleshooting manual provided by the manufacturer and the accumulated experience of engineers when performing flight fault diagnosis on complex systems such as aircraft landing gear systems and air-conditioning systems. There are many uncertainties, so the overall troubleshooting is relatively slow. Sometimes a valve failure even causes the aircraft to be grounded for a day, which greatly affects the airline's normal flight plan and economic benefits

[0005] Therefore, there is a lack of a diagnostic method in the prior art, which can effectively use the data collected during the flight of the aircraft and the experience of the engineer to quickly and accurately troubleshoot and ensure the normal flight plan of the airline.

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