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Embedded real-time diagnosis inference algorithm testing system of airplane

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

Active Publication Date: 2017-01-04
北京恒兴易康科技有限公司
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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

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  • Embedded real-time diagnosis inference algorithm testing system of airplane
  • Embedded real-time diagnosis inference algorithm testing system of airplane
  • Embedded real-time diagnosis inference algorithm testing system of airplane

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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 ...

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Abstract

The invention discloses an embedded real-time diagnosis inference algorithm testing system of an airplane. The system comprises a master control device, a data simulation device and an embedded target machine; the master control device registers a diagnosis inference algorithm to be verified, integrates the registered diagnosis inference algorithm to be verified in the embedded target machine, and emits a fault generation instruction to generate fault data; the data simulation device generates corresponding fault data according to the fault generation instruction emitted by the master control device; the embedded target machine runs the diagnosis inference algorithm to be verified to carry out inference caculation the fault data, and sends a calculation result to the master control device; and the master control device analyzes the calculation result, and evaluate performance of the diagnosis inference algorithm to be verified. According to the invention, the difficulty in verifying the diagnosis inference algorithm in real time in the prior art is overcome.

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 system. 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

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Application Information

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IPC IPC(8): G06N5/04G06F17/50
CPCG06F30/20G06N5/04
Inventor 吕琛丁宇袁航马剑
Owner 北京恒兴易康科技有限公司
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