TCAS system fault comprehensive diagnosis method and system based on Bayesian decision tree

A system fault, comprehensive diagnosis technology, applied in the direction of electrical testing/monitoring, can solve problems such as difficulty in meeting requirements, and achieve the effect of strong use value, strong scalability and maintainability

Inactive Publication Date: 2014-10-01
CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional fault diagnosis method mainly relies on the traditional manual fault diagnosis method, which is difficult to meet the requirements

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • TCAS system fault comprehensive diagnosis method and system based on Bayesian decision tree
  • TCAS system fault comprehensive diagnosis method and system based on Bayesian decision tree
  • TCAS system fault comprehensive diagnosis method and system based on Bayesian decision tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] Through the analysis of the common faults of the TCAS system, the present invention proposes an aircraft fault diagnosis design idea based on the Bayesian decision tree, through the analysis of the common fault causes of the aircraft electronic system, and mainly adopts the idea of ​​combining software and hardware to detect potential hidden dangers. Using anti-pulse interference filtering algorithm, discrete Fourier transform and feature extraction to realize the acquisition and processing of power supply data and resistance, and then uniformly adopt statistical Bayesian decision-making to realize device fault identification, and use object-oriented decision tree, The location and isolation of system faults are realized.

[0036] Such as Figure 5 As shown, the present invention can detect possible hidden dangers while troubleshooting through the mod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a TCAS system fault comprehensive diagnosis method based on a Bayesian decision tree. The TCAS system fault comprehensive diagnosis method comprises the following steps that firstly, the fault decision tree is used for decomposing airplane electronic system faults, and a measuring method is provided; secondly, according to requirements of a measured or controlled object, parameter information such as a voltage, a current, frequency, a harmonic wave and resistance are collected, and analog-to-digital conversion is carried out; thirdly, feature extraction is carried out on the voltage, the current and the frequency, and state information of devices is obtained according to measurement of extracted power source quality features or the voltage or the resistance; fourthly, the faults of each device are judged with a statistics-based Bayesian decision method; fifthly, the object-oriented decision tree is applied to inference of fault locations, the faults are removed one by one, and fault positioning is carried out; sixthly, a detection result is output. Possible hidden dangers of an airplane can be detected while the faults are removed, and a TCAS electronic system fault diagnosis system with an industrial control computer serving as a host computer is achieved.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of aircraft avionics systems, in particular to a comprehensive fault diagnosis method for TCAS systems based on a Bayesian decision tree. Background technique [0002] TCAS system is an important airborne electronic device of modern aircraft, and its complex system cross-linking and internal structure put forward high requirements for system maintenance and troubleshooting. The TCAS system has high requirements on the sensitivity and accuracy of the signal. A large amount of data calculation is the basis for providing high-precision electronic identification. Coupled with the complex and harsh electromagnetic environment on board, the failure rate of the TCAS system on various types of aircraft is relatively low. high case. Therefore, its troubleshooting is also a relatively complicated process. Through the analysis of its common failures, there are generally power failures, line failures and comp...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
Inventor 潘玉娥
Owner CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap