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Fault diagnosis method for flight control system based on rules

A technology for fault diagnosis and flight control system, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc. It can solve the problem of weak ability to express complex knowledge, difficulty in structural factual knowledge, and affect the speed of knowledge base establishment. and other problems to achieve the effect of enhancing the fault diagnosis performance, improving the presentation ability, and speeding up the construction speed.

Inactive Publication Date: 2018-09-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Common rule-based fault diagnosis methods often use the representation method of production rules in knowledge representation, but production rules have great difficulties in representing structural factual knowledge
The commonly used knowledge acquisition method is to enter knowledge engineers by using fixed-format forms or filling in the blanks, which greatly affects the speed of building knowledge bases, and the ability to express some complex knowledge is weak

Method used

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  • Fault diagnosis method for flight control system based on rules
  • Fault diagnosis method for flight control system based on rules
  • Fault diagnosis method for flight control system based on rules

Examples

Experimental program
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Embodiment

[0029] Such as figure 1 Shown is the system frame diagram of this example, where:

[0030] Human-computer interaction interface: responsible for the human-computer interaction between the system and experts and maintenance personnel. Experts input fault diagnosis knowledge into the system through the human-computer interaction interface, and maintenance personnel use the human-computer interaction interface to call system functions to complete fault diagnosis. The diagnosis conclusion is fed back to the maintenance through the man-machine interface.

[0031] Knowledge base: The knowledge base is used to store the fault diagnosis knowledge of the flight control system fault diagnosis, including the experiential knowledge of experts and other factual knowledge. Knowledge is expressed in the form of production rule tree + frame in the knowledge base.

[0032] Learning machine: The learning machine is responsible for inputting the experience knowledge of experts and other factua...

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Abstract

The invention belongs to the technical field of aircraft fault diagnosis, and specifically relates to a fault diagnosis method for a flight control system based on rules. A knowledge representation method of a production rule tree + a frame is employed for representing the fault diagnosis knowledge, and a graphical rule tree modeling tool and a text inputting tool are combined as a knowledge learner. The method provided by the invention improves the representation capability of a fault diagnosis method based rules for the complex knowledge, speeds up the construction of a knowledge base, and improves the fault diagnosis performances.

Description

technical field [0001] The invention belongs to the technical field of aircraft fault diagnosis, and in particular relates to a method for fault diagnosis of a flight control system based on rules. Background technique [0002] The flight control system is the core system of the aircraft. The failure of its system components not only affects the performance of the flight control system, but also poses a great threat to the flight safety of the aircraft. Intelligent fault diagnosis technology is applied to the failure of the aircraft flight control system In the diagnosis, assisting the maintenance personnel to eliminate the faults of the flight control system in time, improving the maintenance efficiency of the aircraft, and ensuring the safe flight of the aircraft are currently urgently needed research contents. [0003] The commonly used methods of fault diagnosis of flight control system are model-based fault diagnosis, signal processing-based fault diagnosis and knowledg...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0229G05B23/0245G05B23/0278
Inventor 陈小平万鹏李翔
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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