DocumentCode
3570116
Title
Comparison between IFDI schemes based on expert systems and neural networks
Author
Betta, G. ; Liguori, C. ; Pietrosanto, A.
Author_Institution
Dept. of Ind. Eng., Univ. of Cassino, Italy
Volume
1
fYear
1998
Firstpage
477
Abstract
The problem of comparing different artificial intelligence-based solutions for instrument fault detection and isolation is dealt with. In particular both design difficulties and diagnostic performance have to be analysed in order to find the optimum solution for the particular application. An example of comparison is described in detail referring to a measurement and control station dedicated to the automatic control of a heat ventilating and air conditioning system
Keywords
HVAC; diagnostic expert systems; fault diagnosis; neural nets; HVAC; IFDI schemes; artificial intelligence-based solutions; automatic control; control station; diagnostic performance; expert systems; instrument fault detection; instrument fault isolation; neural networks; Air conditioning; Artificial intelligence; Automatic control; Control systems; Diagnostic expert systems; Expert systems; Fault detection; Instruments; Performance analysis; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
ISSN
1091-5281
Print_ISBN
0-7803-4797-8
Type
conf
DOI
10.1109/IMTC.1998.679832
Filename
679832
Link To Document