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Study of Technique Method for Chemical Process Intelligent Fault Diagnosis(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2004年03期
Page:
18-22
Research Field:
Publishing date:

Info

Title:
Study of Technique Method for Chemical Process Intelligent Fault Diagnosis
Author(s):
ZHAO Jin SHEN Zhongyu
Department of Control Science and Engineering, Nanjing Normal University, Nanjing 210042, China
Keywords:
chemical process intelligent fault diagnosis technique mult-i subject technical strategy
PACS:
TP277
DOI:
-
Abstract:
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 mult-i subject characteristics and technical strateg ies 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.

References:

[ 1] Venkatasubramanian V, Rengaswamy R, Kewen Yin, et al. A review of process fault detection and diagnosis part I: Quantitative mode-l based methods[ J] . Computer & Chemical Eng ineering, 2003, 27( 3) : 293 -311.
[ 2] Venkatasubramanian V, Rengaswamy R, Kewen Yin, et al. A review of process fault detection and diagnosis part II: Qualitative models and search strateg ies [ J] . Computer & Chemical Engineering, 2003, 27( 3) : 313- 326.
[ 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 Eng-i neering , 2003, 27( 3) : 327- 346.
[ 4] Frank P M, Ding S X, Marcu T. Mode-l based fault diagnosis in technical processes [ J] . Transactions of the Institute of Measurement and Control, 2000, 22( 1) : 57- 101.
[ 5] Mehra R K, Peschon J. An innovation approach to fault detection and diagnosis in dynamics [ J] . Automatica, 1971, 7 ( 5) : 637 -611.
[ 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.
[ 8] 黄启明, 钱宇, 林伟璐, 等. 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.
[ 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] Fathi Z, Ramirez W F, Korbicz J. Analytical and know-l edge- based redundancy[ J] . AICHE. Journal, 1993, 39( 1) : 42 -56.
[ 11] Bhagwat A, Srinivasan R, Krishnaswamy P R. Fault detection during process transitions: a mode-l based approach[ J] . Chemical Engineering Science, 2003, 58( 2) : 309- 325.
[ 12] 李华生, 袁一. 化工过程故障预测、诊断和补偿专家系统FEDCS 的开发[ J] . 北京化工大学学报( 自然科学版) , 1995, 22( 1) : 6- 11.
[ 13] 孙京诰, 杨欣斌, 黄道. 基于知识共享和重用的化工过程故障诊断技术研究[ J] . 华东理工大学学报( 增刊) , 2002, 28( 9) : 34- 37.
[ 14] 钱宇, 李秀喜, 江燕斌, 等. 化工过程集成型智能故障诊断系统研究与开发[ J] . 华南理工大学学报( 自然科学版) , 2002, 30( 11) : 142- 146.
[ 15] 黄志坚, 裘丽华. 对现代机械故障诊断技术方法论的探讨[ J] . 科学技术与辨证法, 2001, 18( 3) : 26- 29.
[ 16] Venkatasubramanian V, Chan K. A Neural Network Methodology for Process Fault Diagnosis[ J] . AICHE. Journal, 1989, 35( 12) : 970- 984.
[ 17] 王文辉, 周东华. 基于定性和半定性方法的故障检测与诊断技术[ J] . 控制理论与应用, 2002, 19( 5) : 653- 665, 659.

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Last Update: 2013-04-29