Intelligent health prediction method and system for aircraft

A technology of intelligent health and forecasting methods, applied in forecasting, neural learning methods, instruments, etc., can solve problems such as difficulty in understanding system behavior characteristics and complex control systems

Active Publication Date: 2019-10-08
BEIJING AEROSPACE AUTOMATIC CONTROL RES INST +1
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AI Technical Summary

Problems solved by technology

Due to the increasingly complex control system, it is difficult to understand the behavioral characteristics of the system. In order to solve the inherent defects of the widely used condition monitoring and fault diagnosis - after the fault occurs, the fault-tolerant processing of the aircraft control system is carried out by means of post-event remediation. In order to realize the system To estimate the future operating status and development trend and prevent the occurrence of catastrophic failures, it is necessary to use the historical information and dynamic information of the control system, so there is an urgent need for effective health prediction methods to monitor the deterioration trend of the control system

Method used

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  • Intelligent health prediction method and system for aircraft
  • Intelligent health prediction method and system for aircraft
  • Intelligent health prediction method and system for aircraft

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Embodiment Construction

[0081] Such as figure 1 As shown, the intelligent health prediction method of a kind of aircraft that the present invention proposes, the steps are as follows:

[0082] (1) Establish an aircraft data simulation model to generate data x for health prediction i and a t ;

[0083] The aircraft data simulation model of the present invention is used for simulating the information processing data generated by the aircraft in real time, and its data feature is structured floating point number with time correlation. Such as figure 2 As shown, the information processing data includes sensor acquisition interfaces, such as SPI, IIC, and ADC, etc., and the communication interfaces between modules include RS-422, RS-485, CAN bus, and aircraft working information data, such as temperature, voltage, vibration, etc. . An intelligent health prediction method for an aircraft of the present invention uses the data and uses a health evaluation model to evaluate the health in real time.

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Abstract

An intelligent health prediction method and system of an aircraft are used for real-time control health prediction of the aircraft and are real-time online health prediction algorithms. The intelligent health prediction method changes the health disposal scheme of the traditional aircraft after-event remedy, and outputs the health prediction value of the aircraft in real time. The intelligent health prediction system comprises five models: an aircraft data simulation model, a data set positive sample training prediction model based on RNN and LSTM, a prediction model based on a grey model, a combined prediction model and a health degree calculation model.

Description

technical field [0001] The invention relates to an intelligent health prediction method and system for aircraft, belonging to the technical field of aircraft health prediction. Background technique [0002] For aircraft control systems, condition monitoring and early fault diagnosis are researched based on instantaneous data of monitoring points. Due to the increasingly complex control system, it is difficult to understand the behavioral characteristics of the system. In order to solve the inherent defects of the widely used condition monitoring and fault diagnosis - after the fault occurs, the fault-tolerant processing of the aircraft control system is carried out by means of post-event remediation. In order to realize the system To estimate the future operating status and development trend and prevent catastrophic failures, historical information and dynamic information of the control system need to be used. Therefore, effective health prediction methods are urgently neede...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/08G06Q10/04G06Q10/06G06F17/11
CPCG06N3/08G06Q10/04G06Q10/0639G06F17/11G06F30/20Y02T90/00
Inventor 张英王世会赵雄波郭波涛郭城宋鹏飞王栋成锐聂振斌陈闯温亚杨喆张福鑫杨诚仲雪洁韦闽峰王婧蔡燕斌李晓敏高梓晰张萌窦志红吴强王大庆李宾康旭冰周华冯丽田长铮野超高晓颖曹健张兴
Owner BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
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