计算机应用 ›› 2012, Vol. 32 ›› Issue (07): 2053-2055.DOI: 10.3724/SP.J.1087.2012.02053

• 典型应用 • 上一篇    下一篇

面向健康管理的复杂装备维修模糊聚类

杜军乐1,夏良华1,齐伟伟2,豆建斌3   

  1. 1. 军械工程学院 装备指挥与管理系，石家庄050003
    2. 63886部队，河南 洛阳471003
    3. 63870部队，陕西 华阴714200
  • 收稿日期:2011-12-26 修回日期:2012-02-16 发布日期:2012-07-05 出版日期:2012-07-01
  • 通讯作者: 杜军乐
  • 作者简介:杜军乐(1982-)，男，河北保定人，硕士研究生，主要研究方向：装备健康管理；夏良华(1970-)，男，江西弋阳人，副教授，博士，主要研究方向：装备健康管理；齐伟伟(1986-)，男，河南南阳人，硕士研究生，主要研究方向：装备健康管理；豆建斌(1986-)，男，陕西咸阳人，硕士研究生，主要研究方向：管理信息化、决策优化。
  • 基金资助:

    总装备部某部科研资助项目（2010SY4308002）;军械学院基金资助项目(YJJXM11020)

Fuzzy clustering of complex equipment maintenance for equipment health management

DU Jun-le1,XIA Liang-hua1,QI Wei-wei2,DOU Jian-bin3   

  1. 1. Department of Equipment Command and Management, Ordnance Engineering College, Shijiazhuang Hebei 050003, China
    2. 63886 Force, Luoyang Henan 471003, China
    3. 63870 Force, Huayin Shaanxi 714200, China
  • Received:2011-12-26 Revised:2012-02-16 Online:2012-07-05 Published:2012-07-01
  • Contact: DU Jun-le

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摘要： 科学合理的维修活动是提高装备效能、提升部队战斗力的重要途径。装备复杂化、系统化，对可靠性、维修性、保障性要求越来越高，装备何时维修，采取何种策略，是装备效能发挥的重要前提。从健康管理角度出发，在分析健康状态、故障模式影响以及故障模式发生概率基础上，采取模糊C均值聚类法研究装备维修活动，科学划分维修时机并给出相应维修策略，从而优化装备维修活动，实现装备健康管理(EHM)目标。将所提方法应用于某型装备，并通过Matlab仿真，验证了方法的可行性与合理性，为装备健康管理提供决策依据。

关键词: 健康管理, 模糊C均值聚类分析, 复杂装备, 维修

Abstract: Scientific and reasonable maintenance activity is an important way to improve equipment efficiency and combating force of troops. Complex equipment demands higher reliability, maintainability and supportability, which brings new problems to maintenance activity. When to maintain and how to maintain play an important role in exerting the equipment's efficiency. This paper put forward a strategy model for maintenance activity from Equipment Health Management (EHM) point of view. Based on the analysis of health status, failure mode effect and failure mode probability, Fuzzy C-Means (FCM) clustering algorithm was used to research maintenance activity. Maintenance opportunity was differentiated and a proper maintenance strategy was proposed. Thus appropriate maintenance was made at appropriate opportunity. This could optimize maintenance activity as well as realize EHM goal. The simulation results with Matlab show that the proposed method is feasible and reasonable, which can support EHM decision making.

Key words: health management, Fuzzy C-Means (FCM) clustering analysis, complex equipment, maintenance

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