认知测试性——维修保障理论的新发展

doi:10.3969/j.issn.1009-086x.2018.04.020

现代防御技术 ›› 2018, Vol. 46 ›› Issue (4): 127-132.DOI: 10.3969/j.issn.1009-086x.2018.04.020

认知测试性——维修保障理论的新发展

马彦恒, 宗子健, 刘新海

军械工程学院无人机工程系,河北石家庄 050000

收稿日期:2017-07-15 修回日期:2017-11-24 出版日期:2018-08-30 发布日期:2020-11-25
作者简介:马彦恒(1968-),男,河北石家庄人。教授,博士,研究方向为信息处理技术,认知测试性理论。通信地址:050003 河北省石家庄市和平西路97号研一队 E-mail:zongzijian_123@163.com

Cognitive Testability: New Development of Maintenance Support Theory

MA Yan-heng, ZONG Zi-jian, LIU Xin-hai

Ordnance Engineering College,Unmanned Aerial Systems Engineering Department,Hebei Shijiazhuang 050003,China

Received:2017-07-15 Revised:2017-11-24 Online:2018-08-30 Published:2020-11-25

摘要/Abstract

摘要： 基于信息化条件下,装备发展体系化、网络化、智能化的要求,针对装备保障理论的新发展,详细阐述了认知测试性的概念。首先介绍了认知测试性以及RCM,PHM的概念和原理,分析了认知测试性与RCM,PHM的区别与联系,并对认知测试性的指标体系进行了简要说明,阐明了认知测试性的必要性和可行性,认知测试性是未来装备测试性的发展方向,对装备的发展将产生深远的影响。

关键词: 认知测试性, 维修保障, 以可靠性为中心的维修, 故障预测与健康管理, 对比, 新发展

Abstract: The concept of cognitive testability, which embodies the requirements of equipment development, network and intelligence, is the new development of equipment support theory based on information technology. The concept and principle of the cognitive testability, the prognostics and health management (PHM) and the reliability centered maintenance (RCM) are introduced; the difference between cognitive testability, RCM and PHM is analyzed; and the index system of the cognitive testability is introduced briefly. The necessity and feasibility of the cognitive testability are expounded. Cognitive testability is the future development direction of equipment testability and will produce a far-reaching impact on the development of equipment.

Key words: cognitive testability, maintenance support, reliability centered maintenance(RCM), prognostics and health management(PHM), contrast, new development

中图分类号:

E92
TN407

马彦恒, 宗子健, 刘新海. 认知测试性——维修保障理论的新发展[J]. 现代防御技术, 2018, 46(4): 127-132.

MA Yan-heng, ZONG Zi-jian, LIU Xin-hai. Cognitive Testability: New Development of Maintenance Support Theory[J]. Modern Defense Technology, 2018, 46(4): 127-132.

参考文献

[1] 马彦恒,刘新海,李刚.认知测试性的概念及指标分析[J].军械工程学院学报,2016,28(4):62-65.
MA Yan-heng,LIU Xin-hai,LI Gang.Concept of Cognitive Testability and Analysis of Its Indexes[J].Journal of Ordnance Engineering College,2016,28(4):62-65.
[2] ZONG Zi-jian,MA Yan-heng.Quantitative Analysis of Information Acquisition Ability in Cognitive Testability[C]//2017 the 2nd IEEE International Conference on Cloud Computing and Big Data Analysis.Chengdu,China,2017:360-365.
[3] 郭阳明,蔡小斌,张宝珍,等.故障预测与健康状态管理技术综述[J].计算机测量与控制,2008,16(9):1213-1216,1219.
GUO Yang-ming,CAI Xiao-bin,ZHANG Bao-zhen,et al.Review of Prognositics and Health Management Technology [J].Computer Measurement & Control,2008,16(9):1213-1216,1219.
[4] LEE J,ARDAKANI H D,YANG S,et al.Industrial Bbig Data Analytics and Cyber-Physical Systems for Future Maintenance & Service Innovation[C]//Proceeding of the 4th international Conference on Through-Life Engineering Services-CIRP,2015,38(12):3-7.
[5] Jay Lee.Design of Self-Maintenance and Engineering Immune Systems for Smarter Machines and Manufacturing Systems[C]//IFAC Proceeding Volumes,2010,43(4):1-11.
[6] 冯辅周,司爱威,邢伟,等.故障预测与健康管理技术的应用与发展[J].装甲兵工程学院学报,2009,23(6):1-6,15.
FENG Fu-zhou,SI Ai-wei,XING Wei,et al.Applications and Development of Malfunction Prognostics and Health Management Technologies[J].Journal of Academy Force Engineering,2009,23(6):1-6,15.
[7] 吕琛,马剑,王自力.PHM技术国内外发展情况综述[J].计算机测量与控制,2016,24(9):1-4.
LÜ Chen,MA Jian,WANG Zi-li.Development of PHM Technology at Home and Abroad[J].Computer Measurement & Control,2016,24(9):1-4.
[8] J.莫布雷.以可靠性为中心的维修[M].石磊,译.北京:机械工业出版社,1995:5-10.
MOBLEY J.Reliability Centered Maintenance[M].SHI Lei,Translated.Beijing:Machinery Industry Press,1995:5-10.
[9] 张宝珍.预测与健康管理技术的发展及应用[J].测控技术,2008,27(2):5-7.
ZHANG Bao-zhen.Evolution and Application of PHM Technologies [J].Measurement & Control Technology,2008,27(2):5-7.
[10] MICHAEL G P.Prognostics and Health Management of Electronics[M].Hoboken:John Wiley & Sons.Inc.,2008:3-20.
[11] HESS A C,FRITH G P.Challenges,Issues,and Iessons Learned Chasing the “Big P”.Real Predictive Prognostics.Part1[C]//2005 IEEE Aerospace Conference,Big Sky,Montana,USA,2005:3610-3619.
[12] 石君友.测试性设计分析与验证[M].北京:国防工业出版社,2011:1-2.
SHI Jun-you.Testability Design Analysis and Verification[M].Beijing:National Defense Industry Press,2011:1-2.
[13] 曾声奎,Michael G Pecht,吴际.故障预测与健康管理(PHM)技术的现状与发展[J].航空学报,2005,26(5):626-632.
ZENG Sheng-kui,Michael G Pecht,WU Ji.Status and Perspectives of Prognostics and Health Management Technologies[J].Acta Aeronautica et Astronautica Sinica,2005,26(5):626-632.
[14] JUN Ni,Jay Lee,Dragan Djurdjanovic.Watchdog-Information Technology for Proactive Product Maintenance and its Implications to Ecological Product Re-Use[C]//Proceeding of the Colloquium e-ecological Manufacturing,TU Berlin.2008:1-10.
[15] CLANCY D.Model-Based System-Level Health Management for Reusable Launch Vehicles[C]//AIAA Space 2000 Conference,2000:45-51.

认知测试性——维修保障理论的新发展

Cognitive Testability: New Development of Maintenance Support Theory

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

编辑推荐

Metrics

本文评价

[1]	祝东攀, 曹继平, 毕杰. 基于多目标问题的装备维修保障资源调度研究[J]. 现代防御技术, 2023, 51(2): 119-126.
[2]	黄海金, 季焓, 刘骁佳, 杨波, 王宁. 面向售后保障的导弹装备健康管理系统研究[J]. 现代防御技术, 2023, 51(1): 75-85.
[3]	冯皙璇, 田笑强. 美军“爱国者”导弹武器系统维修保障研究[J]. 现代防御技术, 2022, 50(1): 87-93.
[4]	王蕾, 林涛. 新时期下装备维修保障模式研究[J]. 现代防御技术, 2020, 48(5): 86-91.
[5]	李勇祥, 曹泽阳, 杨志玮. 基于主成分分析的机务人员维修保障能力评价[J]. 现代防御技术, 2020, 48(4): 110-116.
[6]	陈佳希, 原艳斌, 岳晓蕊. 地空导弹装备基地级维修合同商保障能力研究[J]. 现代防御技术, 2020, 48(1): 74-79.
[7]	耿常青, 王鸿超, 王龙, 熊智威. 依据时频聚集性准则的GST-Hough变换信号检测[J]. 现代防御技术, 2018, 46(6): 80-86.
[8]	曾翔, 徐廷学, 董琪, 安进. 组合算法综合决策的装备修理级别优化模型[J]. 现代防御技术, 2018, 46(1): 162-170.