期刊文献+

基于神经网络的故障诊断数据挖掘系统结构的研究 被引量:1

Research on data mining system for failure diagnosis based on neural network
下载PDF
导出
摘要 提出了挖掘机液压故障诊断数据挖掘系统的结构框架,并给出了神经网络模型。通过挖掘机液压故障诊断数据挖掘系统的运用实例,验证了系统的正确性和实用性。 The structure frame of the digging machine hydraulic pressure failure data mining system was presented. The neural network model was analyzed. The validity and practicability of the new diagnosis method were proved by the application case history of the data mining system for digging machine hydraulic pressure failure diagnosis.
作者 廖建军
出处 《信息技术》 2009年第4期31-33,共3页 Information Technology
基金 河南省教育厅项目(2006520020)
关键词 神经网络 数据挖掘技术 数据仓库 故障诊断 挖掘机 neural network data mining technique data warehouse failure diagnosis digging machine
  • 相关文献

参考文献3

  • 1Olivia,Parr,Rud.数据挖掘实践[M].朱扬勇,等译.北京:机械工业出版社,2003,265-280.
  • 2Lu Hongjun, Setiono Rudy, Liu Huan. Effective data mining using neural network[J]. IEEE Transactions on Knowledge and Data Engineering, 1996,8(6) :957 - 961.
  • 3贾丽会,张修如.BP算法分析与改进[J].计算机技术与发展,2006,16(10):101-103. 被引量:47

二级参考文献6

  • 1阎平凡 张长水.人工神经网络与模拟进化计算[M].北京:清华大学出版社,2001..
  • 2Weymacre N,Martens J P.A fast and robust learning algorithm for feedforward neural networks[J].Neural Networks,1991,4(3):363-369.
  • 3Chan L W,Fallside F.An adaptive training algorithm for back propagation networks[J].Computer Speech and Language,1987,2:205-218.
  • 4Fahlman S C,Lebiere C.The Cascade Correlation Learning Architecture[J].Advance in neural information processing systems,1990,2:524-532.
  • 5Rumelhart D E,Hinton G E,Williams R J.Learning representations by back-propagation errors[J].Nature,1986,323:533-536.
  • 6Kirkpatrick S,Gelatt C D,Vecchi M P.Optimization by simulated annealing[J].Science,1983,220:671-680.

共引文献53

同被引文献13

  • 1Laura L PuUum, Joanne Bechta Dugan. Fault tree models for the analysis of complex computer - based systems[ J]. proceedings annual reliability and maintainability symposium, Jiawei Hart, Micheline Kamber, 1996:200 - 207.
  • 2Bogdan Kore, Janusz Laski. Algorithmic software fault localization [J]. 1991 IEEE : 0073 - 1129/91/0000/0246.
  • 3Kanupriya Tewary, Mary Jean Harrold. Fanh modeling using the program dependence graph[ C ]. IEEE, 1994 : 1071 - 9455.
  • 4George Candea, et al. Automatic failure - path inference: a generic introspection technique for Internet applications [ C ]. The Third IEEE Workshop on Internet Applications Proceedings, WIAPP, 2003.
  • 5Manos Renieris, Steven P Reiss. Fault Location with Nearest Neighbor Queries [ J/OL]//Automated Software Engineering. http:// citeseer.ist. psu. edu/renieris03fault.html.
  • 6Franz Wotawa. On the relationship between model - based debugging and program slicing [ J]. Artificial Intelligence, 2002, 135: 125 - 143.
  • 7Gates A Q, et al. DynaMICs: Comprehensive Support for Run-Time Monitoring[J]. Electronic Notes in Theoretical Computer Science, 2001, 55 (2).
  • 8王毅刚.基于软件黑匣子的集成软件故障诊断模型研究[D].石家庄:军械工程学院博士论文,2006.
  • 9Jiawei Han,Micheline Kamber.数据挖掘概念与技术[M].范明,盂小峰,译.2版.北京,机械工业出版社.2006:326-328.
  • 10Agrawal R, Sfikant R. Mining Sequential Patterns: Generalizations and Performance Improvements[ C]// Proc 5th Int. Conf. Extending Database Technology (EDBT). Avignon:Lecture Notes in Computer Science, 1996:3 - 17.

引证文献1

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