Civil aircraft fault prediction system based on neural network

Abstract

The invention discloses a civil aircraft fault prediction system based on a neural network, which comprises a preprocessor, the input end of the preprocessor is electrically connected with an import unit, and the import unit comprises a previous fault processing data import module, an aircraft normal data import module, a previous fault data import module and a real-time aircraft sensor data import module. According to the system, the import unit imports various data into the processor through the preprocessor, and the fault data classification module and the error calculation module calculate and simulate the fault probability through the probability prediction module and the deep neural network calculation simulation module. And the recommendation instruction module exports a corresponding previous processing method through the previous fault processing data import module for a user to watch, so that the system has the advantage of being capable of rapidly predicting and prompting, and solves the problem that in the use process of an existing fault prediction system, fault parameters cannot be accurately judged, and fault information cannot be simulated and prompted.

Description

technical field [0001] The invention relates to the technical field of aircraft failure prediction, in particular to a neural network-based civil aviation aircraft failure prediction system. Background technique [0002] During the operation of the aircraft, various data will be predicted by the fault prediction system, but the existing fault prediction system cannot accurately judge the fault parameters during use, and at the same time cannot simulate and prompt the fault information, which may easily lead to Users miss the best time to deal with failures. Contents of the invention [0003] In order to solve the problems raised in the above-mentioned background technology, the object of the present invention is to provide a civil aviation aircraft fault prediction system based on neural network, which has the advantage of being able to quickly predict and prompt, and solves the problems of the existing fault prediction system during use. It is impossible to accurately ju...

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Problems solved by technology

[0003] In order to solve the problems raised in the above-mentioned background technology, the object of the present invention is to provide a civil aviation aircraft fault prediction system based on neural network, which has the advantage of being able to quickly predict and prompt, and solves the problems of the existing fault prediction system during use. It is impossible to accurately judge the fault parameters, and at the same time, it is impossible to simulate and prompt the fault information, which will easily cause the user to miss the best time to deal with the fault

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