Airborne fuel system fuel consumption estimation and health monitor method
A fuel system and health monitoring technology, which is applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of not considering engine performance attenuation, incomplete consideration of factors, and increased fuel consumption rate, so as to reduce maintenance positioning time , reduce fuel consumption costs and improve maintenance efficiency
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[0029] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0030] The technical scheme of the present invention is: an airborne fuel system fuel consumption estimation and health monitoring method, comprising the following steps:
[0031] Step 1: Data sample processing:
[0032] 1.1) Carry out packet loss, addition and deletion processing on the original flight data to form complete and usable original flight data, and then complete the marking of the original flight data according to the record data of fuel system failures and abnormal events;
[0033] The present invention adopts the complete QAR data of a certain flight of a certain type of BOEING (737-300) as the experimental database. QAR data records about 250 parameters, including important parameters such as engine parameters, airspeed, ground speed, pressure altitude, etc. There are analog quantities, digital signals, switch quantities, etc....
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