期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

视情维修决策软件的设计实现

Design and Implement of Condition Based Maintenance Software
下载PDF
导出
摘要 视情维修根据设备的工龄和状态做出维修策略,需要处理分析大量的数据,应用计算机辅助软件可以提高工作效率。首先介绍了一种视情维修方法,然后介绍了国防科技大学系统工程研究所基于此方法设计开发的一套软件,包括总体框架、数据库结构、对象信息、运行界面和输出形式。 In Condition Based Maintenance(CBM),the maintenance policy is worked out according to the age and the condition of equipments,so plenty of data need to be deal with.A software will promote our work.In this paper,at first one method of CBM is surveyed,then one software based on this method which developed by System Engineering Institute of Nation University of Defence Technology is introduced in detail,including whole architecture,database structure,objects structure,running interface and output format.
作者 张秀斌 王广伟 郭波
机构地区 国防科技大学五院系统所三室
出处 《计算机应用研究》 CSCD 北大核心 2003年第5期89-91,共3页 Application Research of Computers
关键词 软件设计 机械设备 视情维修决策软件 计算机辅助分析 Condition Based Maintenance(CBM) Decision Design and Development
分类号 TP311.1 [自动化与计算机技术—计算机软件与理论] TH17 [机械工程—机械制造及自动化]
  • 相关文献

参考文献3

二级参考文献8

  • 1[1] OPNAVINST4790.4A. Handbook of Ship Maintenance and Material Management System[M]. 1985.
  • 2Bozkaya T, Yazdani N, Ozsoyglu M. Matching and Indexing Sequences of Different Lengths. In: Proc of the 6th International Conference on Information and Knowledge Management, Las Vegas. Nevada. 1997. 128- 135.
  • 3Faloutsos C, Ranganathan M, Mandoponlos Y. Fast Subsequence Matching in Time-Series Databases. In: Proc 1994 ACM SIGMOD Conference, Mineapolis, MN, 1994, 419- 429.
  • 4Rabinar L, Juang B H. Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series, Prentice-Hall, 1993.
  • 5Keogh E J, Smyth P. A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. In: Proc of the 3rd International Conference on Knowledge Discovery and Data Mining, Newport Beach, California, USA, 1997, 24-30.
  • 6Keogh E J, Pazzani M J. An Enhanced Representation of Time Series which Allows Fast and Accurate Classification, Clustering and Relevance Feedback. In: Proc of the 4th International Conference on Knowledge Discovery and Data Mining, New York, 1998, 239.
  • 7Agrawal R, Faloutsos C, Swami A. Efficient Similarity Search in Sequences Database. In: Proc of the 4th International Conference on Foundations of Data Organization and Algorithms, Chicago, Illinois, USA, 1993, 69- 84.
  • 8Agrawal R, Lin K I, Sawhney H S, Shim K. Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Seriez Database. In: Proc of 21th International Conference on Very Large Data Bases, Zurich, Switzerland, 1995, 490- 501.

共引文献4

计算机应用研究
2003年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部