期刊文献+

化工过程智能故障诊断技术方法论的研究 被引量:4

Study of Technique Method for Chemical Process Intelligent Fault Diagnosis
下载PDF
导出
摘要 动态系统故障诊断是解决现代化工业系统可靠性和安全性必不可少的关键技术之一 .简要地讨论化工过程智能故障诊断技术的发展状况和趋势后 ,根据化工过程智能故障诊断技术的特点 ,系统地对化工过程智能故障诊断技术的多学科特点以及技术策略方法进行研究 ,强调其科学性、集成性、应用性以及渗透性 ,将分析与综合、定性与定量、假设与验证相结合等基本思维方法应用到化工过程智能故障诊断中 。 One of the key techniques for solving the problem in reliability and safety of modern industries is fault diagnosis in dynamic systems. The paper briefly discusses the development and trend of intelligent fault diagnosis technologies in chemical processes, systematically studies the multi subject characteristics and technical strategies about the intelligent fault diagnosis technique in chemical processes, with its science, integration, application and penetrability emphasized, and applies the basic thinking methods involving analysis and synthesis, qualitative analysis and quantitative analysis, hypothesis and verification so that the chemical process intelligent fault diagnosis technique can be devised.
作者 赵瑾 申忠宇
出处 《南京师范大学学报(工程技术版)》 CAS 2004年第3期18-22,共5页 Journal of Nanjing Normal University(Engineering and Technology Edition)
关键词 化工过程 智能故障诊断技术 多学科 技术策略 chemical process, intelligent fault diagnosis technique, multi subject, technical strategy
  • 相关文献

参考文献17

  • 1[1]Venkatasubramanian V, Rengaswamy R, Kewen Yin, et al. A review of process fault detection and diagnosis part I: Quantitative model-based methods[J]. Computer & Chemical Engineering,2003,27(3):293311.
  • 2[2]Venkatasubramanian V, Rengaswamy R, Kewen Yin, et al. A review of process fault detection and diagnosis part II: Qualitative models and search strategies[J]. Computer & Chemical Engineering,2003,27(3):313-326.
  • 3[3]Venkatasubramanian V, Rengaswamy R, Kewen Yin, et al. A review of process fault detection and diagnosis part III: Process history based methods[J]. Computer & Chemical Engineering, 2003,27(3):327-346.
  • 4[4]Frank P M, Ding S X, Marcu T. Model-based fault diagnosis in technical processes[J]. Transactions of the Institute of Measurement and Control,2000,22(1):57-101.
  • 5[5]Mehra R K, Peschon J. An innovation approach to fault detection and diagnosis in dynamics[J]. Automatica,1971,7(5):637-611.
  • 6[6]Willsky A S. A survey of design methods for failure detection in dynamic systems[J]. Automatica,1976,12(6):601-611.
  • 7陈玉东,施颂椒,翁正新.动态系统的故障诊断方法综述[J].化工自动化及仪表,2001,28(3):1-14. 被引量:60
  • 8黄启明,钱宇,林伟璐,李秀喜.化工过程故障诊断研究进展[J].化工自动化及仪表,2000,27(3):1-5. 被引量:39
  • 9[9]Sharif M A, Grosvenor R I. Process plant condition monitoring and fault diagnosis[J]. Proc Instn Mech Engrs Part E,1998,212(1):13-30.
  • 10[10]Fathi Z, Ramirez W F, Korbicz J. Analytical and knowledge-based redundancy[J]. AICHE. Journal,1993,39(1):42-56.

二级参考文献111

共引文献140

同被引文献27

  • 1孙志强,谢红卫,张明,周宗潭.基于功能模型的故障仿真[J].计算机仿真,2004,21(11):36-38. 被引量:6
  • 2周韶园,谢磊,王树青.On-line Fault Diagnosis in Industrial Processes Using Variable Moving Window and Hidden Markov Model[J].Chinese Journal of Chemical Engineering,2005,13(3):388-395. 被引量:9
  • 3白志强,唐永哲.基于动态时间规整的飞控系统故障诊断[J].计算机仿真,2007,24(1):39-41. 被引量:6
  • 4田文德,孙素莉,刘继泉.基于动态模拟的化工过程故障诊断[J].系统仿真学报,2007,19(12):2831-2835. 被引量:9
  • 5蒋浩天.工业系统的故障检测与诊断[M].北京:机械工业出版社,2003..
  • 6Venkatasubramanian V,Rengaswamy R,Kavuri S N.A review of process fault detection and diagnosis Part Ⅱ:Qualitative models and search strategies[J].Computers and Chemical Engineering (S0098-1354).2003,27:313-326.
  • 7Venkatasubramanian V,Rengaswamy R,KavurS N I,Yin K.A review of process fault detection and diagnosis Part Ⅲ:Process history based methods[J].Computers and Chemical Engineering (S0098-1354).2003,27:327-346.
  • 8Huang Yuan,Reklaitis G V,Venkatasubramanian Venkat.Dynamic optimization based fault accommodation[J].Computers and Chemical Engineering (S0098-1354).2000,24:439-444.
  • 9Prakash J,Narasimhan Shankar,Patwardhan Sachin C.Integrating model based fault diagnosis with model predictive control[J].Industrial and Engineering Chemical Research (S0888-5885).2005,44:4344-4360.
  • 10Venkatasubramanian V,Rengaswamy R,Yin K,Kavuri S N.A review of process fault detection and diagnosis Part I:Quantitative model-based methods[J].Computers and Chemical Engineering (S0098-1354).2003,27:293-311.

引证文献4

二级引证文献16

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