Intelligent fault diagnosis system for ICNI system

Abstract

The invention discloses an intelligent fault diagnosis system for an ICNI system, which can improve the maintenance efficiency, carry out intelligent and automatic diagnosis and is applicable to the ICNI system. According to the technical scheme of the invention, a knowledge base and a management module thereof carry out standardization research and mathematical modeling based on a fault tree, an SQL Server database software framework is adopted, a relational database is used for building a logic relation among a fault phenomenon, a fault mode, a detection method, a historical case and a fault tree internal event to form the knowledge base; and a diagnosis information acquisition module interacts with an automatic testing system via Ethernet to acquire diagnosis data from the ICNI system and a testing instrument, a reasoning machine module adopts CBR and RBR hybrid diagnostic reasoning, after comprehensive judgment is carried out on the fault phenomenon inputted by the user, the field knowledge stored by the knowledge base and the diagnosis data from the automatic testing system, a reasoning method is automatically selected to carry out reasoning diagnosis on the fault, a reasoning process and a reasoning result are outputted to an explanation machine module, and a diagnosis report is generated.

Description

technical field [0001] The present invention relates to an intelligent fault diagnosis system mainly used in avionics integrated communication and navigation identification (ICNI) system, mainly used for independent and rapid offline fault diagnosis and maintenance management of avionics subsystems such as ICNI, and gives Troubleshooting. Background technique [0002] With the development of avionics technology, avionics systems are becoming more and more advanced and complex. The high reliability requirements for avionics systems make fault diagnosis a very important issue. In order to improve the safety, maintainability and attendance rate of fighter jets, fault diagnosis and timely fault detection, isolation and recovery countermeasures will inevitably play an important role in the reliable completion of various tasks of fighter jets. At present, rule-based reasoning (Rule-Based Reasoning, RBR) generative expert system is widely used in aerospace fault diagnosis expert s...

AI Technical Summary

Problems solved by technology

[0004] The task of the present invention is to provide a fast and reliable fault diagnosis, which can reduce the workload of operating personnel, can improve self-learning ability, improve maintenance efficiency, realize intelligent automatic diagnosis, and is suitable for intelligent fault diagnosis system of ICNI system to solve ICNI Low efficiency of system manual maintenance and diagnosis, maintenance data, experience and domain knowledge cannot be shared, stored, evaluated and optimized

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