ONLINE FAILURE DIAGNOSIS FOR COMPRESSION REFRIGERATION PLANTS

被引:53
作者
GRIMMELIUS, HT [1 ]
WOUD, JK [1 ]
BEEN, G [1 ]
机构
[1] VAN BUUREN VAN SWAAY BV,ZOETERMEER,NETHERLANDS
来源
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID | 1995年 / 18卷 / 01期
关键词
REFRIGERATED PLANT; BREAKDOWN; DETECTION; CONTROL; FUZZY LOGIC; SIMULATION;
D O I
10.1016/0140-7007(94)P3709-A
中图分类号
O414.1 [热力学];
学科分类号
摘要
A prototype condition monitoring and diagnostic system has been developed for compression refrigeration plants, which can be used under variable operational conditions. Based on a combination of causal analysis, expert knowledge and simulated failure modes, a failure mode symptom matrix has been created. Healthy system behaviour is predicted based on a regression analysis model. Using multi-valued (or 'fuzzy') logic, real-time recognition of failure modes, at an early stage, proved to be possible. Future developments for improvement of diagnostic systems in compression refrigeration plants are discussed.
引用
收藏
页码:31 / 41
页数:11
相关论文
共 11 条
[1]  
DRAPER NR, 1981, APPLIED REGRESSION A
[2]  
DUPONT, 1975, T22SI DUP NEM INT SA
[3]  
GRIMMELIUS HT, 1992, OEMO9208 DELFT U TEC
[4]  
GRIMMELIUS HT, 1992, OEMO199213 DELFT U T
[5]  
Himmelblau DM, 1978, FAULT DETECTION DIAG
[6]  
Horvitz E. J., 1988, International Journal of Approximate Reasoning, V2, P247, DOI 10.1016/0888-613X(88)90120-X
[7]  
SEN A, 1990, REGRESSION ANAL METH
[8]   PUBLICATION AND CITATION PATTERNS IN THE LITERATURE OF LIQUID-CRYSTALS WITH SPECIAL REFERENCE TO THE CONTRIBUTION OF INDIA, CANADA, JAPAN, UNITED-KINGDOM AND THE SOVIET-UNION [J].
SINGH, UN ;
ARUNACHALAM, S .
SCIENTOMETRICS, 1991, 20 (01) :197-220
[9]  
VANHERWERDEN JL, 1992, OEMO9209 DELFT U TEC
[10]  
WOUD JK, 1992, JUN P C MAR SAF ENV, P413