Aircraft liquid cooling failure fault diagnosis method based on stacked sparse noise reduction auto-encoder

Abstract

The invention discloses an aircraft liquid cooling failure fault diagnosis method based on a stacked sparse noise reduction auto-encoder. The method comprises the following specific steps: 1, performing time series data acquisition and normalization processing; 2, establishing and training a fault feature extraction model based on the stacked sparse noise reduction auto-encoder; 3, establishing and training a multi-layer perceptron classifier; and 4, performing airplane liquid cooling failure fault diagnosis. According to the method, data features automatically extracted from related parameterdata of the liquid cooling system based on an unsupervised algorithm are used as fault diagnosis criteria; and compared with the prior art, the method has the advantages that traditional manual faultcriteria made based on expert knowledge are replaced, information of related parameters in the liquid cooling system is fully mined, the requirements for manual experience and expert knowledge are reduced, and the obtaining efficiency, cost and accuracy of the fault criteria are improved. Fault diagnosis is carried out by using multiple paths of signal parameters, so that the airplane liquid cooling failure fault can be effectively diagnosed, and the practical engineering application value is relatively high.

Description

technical field [0001] The invention relates to the field of fault diagnosis of an aircraft environmental control system, in particular to a method for diagnosing an aircraft liquid cooling failure fault based on a stacked sparse noise reduction autoencoder. Background technique [0002] The aircraft environmental control system, referred to as the environmental control system, undertakes the function of providing a suitable working temperature for the equipment on the aircraft, and mainly adjusts the temperature, humidity, pressure and other parameters in the cabin. It is an important airborne system of the aircraft. Whether the environmental control system can work normally determines whether the on-board equipment can work normally, and is an important guarantee system for flight safety. [0003] With the continuous development of the aviation industry, the number and power of airborne electronic equipment continue to increase, and the integration of electronic equipment ...

AI Technical Summary

Problems solved by technology

The diagnosis method using fault criterion requires a lot of experience and knowledge, and the fault criterion is difficult to cover all fault occurrences. It is greatly affected by the manual diagnosis experience and the accuracy of the fault criterion, and there are certain deficiencies.

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