Civil aircraft fault diagnosis method based on multi-source data fusion

Abstract

The invention provides a civil aircraft fault diagnosis method based on multi-source data fusion, and the method comprises the following steps: 1, collecting multi-source data, and forming a fault database; step 2, multi-source data fusion; step 3, establishing a model based on multi-source data; 4, the fault identification model is deployed, and the constructed fault identification model is deployed in an airborne general calculation unit module, a display module and an airborne maintenance terminal; and inputting the real-time data of the airplane into the fault identification model, calculating and comparing the real-time data of the airplane with the fault feature vector value representing the fault by the fault identification model, and displaying the fault information of the airplane on the maintenance terminal of the airplane in real time. According to the method, the data from different sources are collected, the characteristic values representing the faults are extracted, the fault identification model based on the fault characteristic values is established, and finally the model is trained and corrected, so that the accuracy of the model is improved, and the faults corresponding to the civil aircraft are quickly diagnosed.

Description

technical field [0001] The invention relates to the technical field of civil aviation, in particular to a civil aircraft fault diagnosis method based on multi-source data fusion. Background technique [0002] Aviation safety is to ensure that accidents such as casualties and aircraft damage related to aircraft operation do not occur. Aviation safety mainly includes flight safety, aviation ground safety and air defense safety. Flight safety means that no accidents such as personal casualties or aircraft damage caused by flight or other reasons occur during the operation of the aircraft. Aviation ground safety refers to the safety of carrying out production activities within the apron and flight area around the operation of aircraft; preventing aircraft damage, casualties of passengers and ground personnel, and damage to various ground facilities, as well as aircraft maintenance, loading and unloading cargo and other incidents. Safety of activities such as service supplies, ...

AI Technical Summary

Problems solved by technology

Aircraft are currently equipped with an on-board maintenance system that can record aircraft fault information. However, due to the complexity of the aircraft system and the fact that faults mostly exist in the form of cross-linking, it is difficult to match the monitored state parameters with fault phenomena one by one, resulting in relying on Judging the state of the aircraft system by a single data state has problems such as inaccurate diagnosis and high false alarm rate. In the end, most cases still rely on the experience of maintenance personnel or the experience of aircraft pilots to troubleshoot

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