On-line operational support system for faults diagnosis in process plants

被引:5
作者
Chen, BH [1 ]
Wang, XZ [1 ]
McGreavy, C [1 ]
机构
[1] Univ Leeds, Dept Chem Engn, Leeds LS2 9JT, W Yorkshire, England
关键词
operational support system; fault diagnosis; wavelets; neural networks;
D O I
10.1016/S0098-1354(98)00193-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The basic requirement in designing an operational support system for faults diagnosis is in interpretation of transients, knowledge acquisition and knowledge representation. This study uses a:wavelet transform to extract features of the transients which are then interpreted in terms reflecting the main features of an ART2 neural network. The detailed results are stored in a knowledge base embedded in trained fuzzy feedforward neural networks. The system can deal with numerical dynamic signals and carry out heuristic reasoning, and the knowledge base is easily maintained and expanded, and so provides an evolutionary adaptive capability. The approach is illustrated by reference to an industrial fluid catalytic cracking process. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:S973 / S976
页数:4
相关论文
共 8 条
[1]  
CVETKOVIC Z, 1994, P ICASSP, V3, P117
[2]  
DAUBECHIES I, 1992, 10 LEC WAVELETS
[3]   CHARACTERIZATION OF SIGNALS FROM MULTISCALE EDGES [J].
MALLAT, S ;
ZHONG, S .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (07) :710-732
[4]   SINGULARITY DETECTION AND PROCESSING WITH WAVELETS [J].
MALLAT, S ;
HWANG, WL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) :617-643
[5]   ZERO-CROSSINGS OF A WAVELET TRANSFORM [J].
MALLAT, S .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1991, 37 (04) :1019-1033
[6]   A DISTRIBUTED FAULT-DIAGNOSIS METHOD BASED ON DIGRAPH MODELS - STEADY-STATE ANALYSIS [J].
MOHINDRA, S ;
CLARK, PA .
COMPUTERS & CHEMICAL ENGINEERING, 1993, 17 (02) :193-209
[7]   Fuzzy rule generation from data for process operational decision support [J].
Wang, XZ ;
Chen, BH ;
Yang, SH ;
McGreavy, C ;
Lu, ML .
COMPUTERS & CHEMICAL ENGINEERING, 1997, 21 :S661-S666
[8]   A SIMILARITY-BASED APPROACH TO INTERPRETATION OF SENSOR DATA USING ADAPTIVE RESONANCE THEORY [J].
WHITELEY, JR ;
DAVIS, JF .
COMPUTERS & CHEMICAL ENGINEERING, 1994, 18 (07) :637-661