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Airborne equipment fault diagnosis and prediction model verification method

A predictive model and fault diagnosis technology, applied in electrical testing/monitoring, testing/monitoring control systems, instruments, etc., to solve problems such as weak verification capability, difficulty in system integration, and insufficient data and knowledge accumulation

Inactive Publication Date: 2018-10-02
XIAN AVIATION COMPUTING TECH RES INST OF AVIATION IND CORP OF CHINA
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AI Technical Summary

Problems solved by technology

However, in the development process of the PHM system, there are still many key technical problems, such as the difficulty of system integration, insufficient data and knowledge accumulation, weak verification ability, etc.

Method used

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  • Airborne equipment fault diagnosis and prediction model verification method

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Embodiment Construction

[0020] Take the avionics system diagnostic model verification as an example:

[0021] The diagnosis model and inference engine of the avionics system reside in the virtual airborne platform, and the fault data injection is provided by the simulation tool. The verification platform retrieves and displays the diagnostic results through Ethernet. The diagnostic results mainly include: configuration information, detected faults, undetected faults, fuzzy groups, etc. Finally, compare and analyze the output results of the model with the user's expected failure mode, calculate the performance indicators such as detection rate, isolation rate, and false alarm rate of the diagnostic model, and then complete the evaluation of the diagnostic ability of the model.

[0022] Avionics system diagnostic model verification process:

[0023] 1) Import the model in xml format into the database;

[0024] 2) Import the simulation configuration file and simulation script file matching the model i...

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Abstract

The invention belongs to the field of prognostic and health management (PHM) system integration and verification, and relates to an airborne equipment fault diagnosis and prediction model verificationmethod. The airborne equipment fault diagnosis and prediction model verification method is characterized in that BIT data, state parameters, configuration information and resume information reportedby each underlying LRU / LRM are simulated through carrying out simulation on member-level PHM, and an airborne equipment fault diagnosis and prediction model is loaded according to interface requirements; then the verified model is operated according to a model verification process; and finally, the diagnosis and prediction model in the PHM system is verified based on established diagnosis and prediction performance indicators, whether the relevant performance of the model meets technical indicators involved in the design requirements or not, and thus the verification for the airborne equipmentfault diagnosis and prediction model is realized. The method can be used for establishing a comprehensive verification platform of the PHM system, and reflects the engineering characteristics such asstandardization, systematicness, universality and practicability.

Description

technical field [0001] The method belongs to the field of fault prediction and health management (PHM) system integration and verification, and is applicable to the verification of airborne equipment fault diagnosis and prediction models. Background technique [0002] Failure prediction and health management (PHM) technology, as a key technology to improve the reliability, safety and economic affordability of the new generation of weapons and equipment, and realize autonomous support and condition-based maintenance, has attracted widespread attention from the military and industry circles of various countries in recent years. The depth and breadth of the research on fault prediction and health management technology continue to expand. However, in the development process of the PHM system, there are still many key technical problems, such as the difficulty of system integration, insufficient data and knowledge accumulation, and weak verification ability. Especially since the...

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0221
Inventor 孙倩汤幼宁王娟
Owner XIAN AVIATION COMPUTING TECH RES INST OF AVIATION IND CORP OF CHINA
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