装备自主维修保障技术体系研究

中国机械工程 ›› 2010, Vol. 21 ›› Issue (14): 1704-1708.

装备自主维修保障技术体系研究

徐玉国;刘冠军;邱静;苏永定

国防科学技术大学,长沙,410073

出版日期:2010-07-27 发布日期:2010-09-19
基金资助:
国家自然科学基金资助项目(50805142)；国家部委预研基金资助项目(41327040102)
National Natural Science Foundation of China（No. 50805142）;
National Defense Pre-research Foundation of General Armament Department（No. 41327040102）

Research on Technology Architecture of Equipment Autonomic Logistics System

Xu Yuguo;Liu Guanjun;Qiu Jing;Su Yongding

National University of Defense Technology,Changsha,410073

Online:2010-07-27 Published:2010-09-19
Supported by:

National Natural Science Foundation of China（No. 50805142）;
National Defense Pre-research Foundation of General Armament Department（No. 41327040102）

摘要/Abstract

摘要：

针对装备维修保障系统在精确性与复杂性方面的特点,提出了装备自主维修保障技术体系的研究思路。在分析装备维修保障需求与发展的基础上,概括了装备自主维修保障体系的框架结构、运行特点与技术体系结构,总结了装备自主维修保障系统的核心是装备故障预测与维修保障网络结构,并分别从维修保障网络建模与分析、维修保障行为触发与响应策略、维修决策优化以及维修保障资源网络的动态重构与资源配置方面对其技术体系进行了分析。

关键词:

自主维修保障, 感知响应保障, 故障预测, 复杂网络

Abstract:

According to the characteristics of precision and complexity appearing in equipment maintenance logistics, a research area of equipment autonomic logistics was proposed. Based on general analysis of equipment maintenance requirements

and logistics system evolvement, the system architecture and technology architecture of

equipment autonomic logistics were described, the core of equipment autonomic logistics was summarized as fault prognostics and maintenance logistics networks architecture,

and the technology architecture of autonomic logistics was analyzed. The technologies involved modeling and analysis on maintenance logistics networks, trigger and respond strategy on maintenance logistics behavior, maintenance decision optimization, and dynamic networks reconnection and resource reconfiguration.

Key words: autonomic logistics, sense and respond logistics, fault prognostics, complex network

中图分类号:

TH17
E92

徐玉国, 刘冠军, 邱静, 苏永定.

装备自主维修保障技术体系研究

[J]. 中国机械工程, 2010, 21(14): 1704-1708.

XU Yu-Guo, LIU Guan-Jun, QIU Jing, SU Yong-Ding.

Research on Technology Architecture of Equipment Autonomic Logistics System

[J]. China Mechanical Engineering, 2010, 21(14): 1704-1708.

[1]	滕伟;韩琛;赵立;武鑫;柳亦兵. 基于改进粒子滤波的重型燃气轮机跳机故障预测[J]. 中国机械工程, 2021, 32(02): 188-194.
[2]	叶永伟;程毅飞;赖剑人;任设东. 基于改进关联规则的卸船机故障预测模型[J]. 中国机械工程, 2019, 30(20): 2463-2472.