Fault diagnosis method for aircraft airspeed tube based on neural network analysis and redundancy

A neural network and fault diagnosis technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve problems such as easy failures, and achieve the effect of improving timeliness and simple methods

Active Publication Date: 2018-08-21
NORTHWESTERN POLYTECHNICAL UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the air data inertial reference system of the aircraft, the pitot tube, as a key component for measuring the airspeed of the aircraft, is a very important part of the air data inertial reference system. faulty

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  • Fault diagnosis method for aircraft airspeed tube based on neural network analysis and redundancy
  • Fault diagnosis method for aircraft airspeed tube based on neural network analysis and redundancy
  • Fault diagnosis method for aircraft airspeed tube based on neural network analysis and redundancy

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Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0037] aircraft airspeed tube figure 1 shown. figure 2 Shown is the form of the method disclosed in the present invention in actual use, and we describe in detail the health monitoring of pitot tubes in large aircraft and the fault detection and diagnosis technology disclosed in the present invention. Such as image 3 As shown, the present invention is a pitot fault detection and diagnosis technology based on neural network analysis redundancy, comprising the following steps:

[0038] Step 1: Determine the 3 common failure modes of the aircraft pitot, and determine the mathematical expression of each failure mode. In this step, through the analysis of pitot input and output data and daily failure mode research, three common failure modes of pitot are deter...

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Abstract

The invention provides a fault diagnosis method for an aircraft airspeed tube based on neural network analysis and redundancy output. Sufficient historical data of input and output of the aircraft airspeed tube under normal working conditions is obtained, a non-linear neural net model for describing the input and output characteristics of the airspeed tube is established, and the neural network model is trained by using historical training data of input and output under the normal conditions to construct a neural network analytical model of the aircraft airspeed tube. After common fault modesof the airspeed tube are determined, the residual data of the actual output of the airspeed tube and a signal output by the neural network model are collected, when the residual data is greater than atolerance value, it is determined that a fault occurs in the airspeed tube, and the actual output of the airspeed tube and the analytical output signal of the neural network model are subjected to linear regression to identify fault characteristic parameters, thereby identifying fault categories occurring in the airspeed tube and achieving the fault diagnosis of the aircraft airspeed tube.

Description

technical field [0001] The invention relates to a fault diagnosis method for an aircraft pitot tube, in particular to a fault diagnosis method for an aircraft pitot tube based on neural network analysis redundancy. Background technique [0002] As aircraft, especially large aircraft systems, structures, and functions become more and more complex, the flight envelope continues to expand, and the performance of missions improves, it has become an era to develop a highly reliable aircraft self-diagnosis system with fault self-detection and self-diagnosis. development needs. The air data inertial reference system of the aircraft is the main source of flight data acquisition for the aircraft in the process of attitude control, trajectory control and mission execution, and its reliability is the key to the safe flight of the aircraft. Once the air data inertial reference system fails suddenly, it is likely to have a fatal impact on the safe flight of the aircraft. Therefore, it ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 刘贞报孙高远安帅
Owner NORTHWESTERN POLYTECHNICAL UNIV
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