Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Embedded-type real-time diagnostic reasoning algorithm experiment method for airplane

A real-time diagnosis and embedded technology, applied in reasoning methods, calculations, electrical digital data processing, etc., can solve problems such as difficulties in development and production, achieve the effects of reducing verification costs, speeding up development, and improving verification efficiency

Active Publication Date: 2017-01-04
北京恒兴易康科技有限公司
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, in the development stage, designers need to face higher performance requirements, which brings more difficulties to the development and production

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
  • Embedded-type real-time diagnostic reasoning algorithm experiment method for airplane
  • Embedded-type real-time diagnostic reasoning algorithm experiment method for airplane
  • Embedded-type real-time diagnostic reasoning algorithm experiment method for airplane

Examples

Experimental program
Comparison scheme
Effect test

no. 3 example

[0107] Figure 11 Shows the third embodiment of the test method of the aircraft embedded real-time diagnostic reasoning algorithm of the present invention, which includes: the main control device registers the diagnostic reasoning algorithm to be verified; the main control device integrates the registered diagnostic reasoning algorithm to be verified into the embedded In the target machine; the data simulation device reads out the corresponding historical fault data from its historical fault database according to the historical fault reading instruction sent by the main control device; the embedded target machine utilizes the diagnostic reasoning algorithm to be verified for the Perform reasoning calculations on the historical fault data, and send the calculation results to the main control device; the main control device evaluates the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculation results.

[0108] Using the diagnostic inference ...

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 an embedded-type real-time diagnostic reasoning algorithm experiment method for an airplane. The embedded-type real-time diagnosis reasoning algorithm experiment method is as follows: a master control device registers a to-be-verified diagnostic reasoning algorithm; the master control device integrates the registered to-be-verified diagnostic reasoning algorithm into an embedded-type target machine; a data simulation device starts a fault simulation model to generate corresponding simulation fault data according to a simulation fault instruction of generating simulation fault data from the master control device; the embedded-type target machine utilizes the to-be-verified diagnostic reasoning algorithm to perform reasoning calculation on the simulation fault data and sends the calculation result to the master control device; and the master control device evaluates the performance of the to-be-verified diagnostic reasoning algorithm through analyzing the calculation result. The embedded-type real-time diagnostic reasoning algorithm experiment method can be used for solving the difficulty of verifying the real-time diagnostic reasoning algorithm on the airplane in the prior art.

Description

technical field [0001] The invention relates to the field of aircraft fault diagnosis, in particular to an aircraft embedded real-time diagnostic reasoning algorithm test method. Background technique [0002] With the increasing functional complexity and system complexity of new aircraft, the fault diagnosis and health management systems for each system are becoming more and more complex. At the same time, the aircraft health management system puts forward higher requirements for the accuracy and efficiency of the diagnostic reasoning process. Therefore, in the development stage, designers need to face higher performance requirements, which brings more difficulties to development and production. [0003] Fault diagnosis for airborne equipment is a technology involving multiple equipment, from data collection for the equipment under test, to importing equipment status information into the regional manager for diagnostic processing, and finally sending the diagnostic results ...

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
IPC IPC(8): G06F11/36
CPCG06F11/3604G06F11/3612G06N5/04
Inventor 吕琛丁宇袁航马剑
Owner 北京恒兴易康科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com