A Highly Expandable Fault Diagnosis Expert System

Abstract

The present invention relates to a highly extensible fault diagnosis expert system. A fault diagnosis module performs diagnosis and inference on acquired data to determine whether a fault exists and obtain a fault level, and results are provided to a database management module to perform history recording and data management, and / or to perform storage or display. The fault diagnosis module comprises an engine, a file for storing diagnosis algorithm variable data, a functional function file for storing a functional function and an algorithm master file, wherein the engine is used for executing the algorithm master file, and the diagnosis algorithm variable data is invoked by the functional function or the algorithm master file and is set to be extended and added as needed; the functional function is called by the functional function file or the algorithm master file, and a fault diagnosis algorithm is extended by adding a functional function file; and the algorithm master file is a starter file executing the algorithm, constructs a framework implemented by the fault diagnosis algorithm and directly interacts with a graphical programming software interface.

Description

technical field [0001] The invention relates to a highly scalable fault diagnosis expert system. Background technique [0002] With the advancement of high technology and the development of the information age, the complexity, integration, and intelligence of modern equipment systems continue to increase. The logistics maintenance work requirements are becoming more and more stringent. Accompanied by this, the characteristics of difficult logistical maintenance work and high cost gradually emerged. According to the comprehensive data of the U.S. military, the cost of use and support can account for 72% of the total life cycle cost of weapons and equipment. Compared with the cost of use, the cost of maintenance support is more technically compressible, so the research on equipment logistics support technology is to reduce The key to securing costs. [0003] At present, the conventional logistics maintenance system is usually a corrective maintenance (CM) system or a time-b...

AI Technical Summary

Problems solved by technology

In this way, the actual health status of the equipment is seldom considered. At present, traditional instrumentation is generally used for system detection to obtain data and then manual fault judgment is not only low in efficiency and poor in reliability, but also difficult to find potential minor faults in system equipment.

[0004] The fault diagnosis expert system has the characteristics of fast test speed, accurate test results, perfect test functions, diverse output display modes, simple operation, and self-test and self-diagnosis of the system itself. It has gradually replaced the traditional manual in large-scale test tasks. However, with the rapid development of electronic technology and computer technology, electronic equipment has become more and more advanced. There are many parameters to be tested and high precision, which makes the matching fault diagnosis expert system more and more complicated and difficult to develop. The cost of maintenance and support after delivery is also increasing, and the fault diagnosis expert system must be updated and upgraded in time to meet the growing demand for complex electronic equipment testing. The rapid growth of life cycle insurance costs can no longer be ignored

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