LRU division method and device based on function, structure and information correlation and application

Abstract

The invention provides an LRU division method based on function, structure and information correlation and relates to the design product design field. According to the method and the device provided by the invention, the function, the structure and the information correlation between parts are fully considered; respective and comprehensive relevancy is calculated to construct fuzzy tree maps, LRUswhich cannot be grouped and LRUs which can be grouped are divided by setting a reasonable threshold value; the LRU division schemes capable of being grouped are evaluated through the maintenance efficiency considering the maintenance time, cost and failure rate, finally the LRU division schemes are formed, a more accurate and reasonable product design optimization model with maintainability is established, the maintenance efficiency and effect are improved, and the expense is reduced.

Description

technical field [0001] The present invention relates to the field of product design, in particular to an LRU division method and device based on function, structure and information correlation Background technique [0002] Product design is the first and most important link in the entire life cycle of product design, manufacturing, assembly, use and recycling. On the basis of the basic realization of traditional product performance design, product function planning and design, LRU design, Overall layout design and RMS related design and experimental verification etc. [0003] The design of LRU is mainly to improve the convenience of field replacement. It mainly considers the convenience of field fault detection, fault diagnosis, replacement, and recovery test. In the actual maintenance of products, it can greatly save maintenance time, improve the maintainability of equipment, and improve weapons. The mission support of the equipment system, LRU, as the product level corres...

AI Technical Summary

Problems solved by technology

Establishing a more accurate and reasonable maintenance optimization model can optimize the model of complex systems, improve maintenance efficiency and effectiveness, and reduce expenses. It has been more and more widely used in system maintenance planning. For the maintenance requirements of equipment systems, traditional The method of planning LRU purely through qualitative analysis can no longer meet the maintenance characteristics requirements of the system

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