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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Print_ISBN :
0-7803-4797-8
DOI :
10.1109/IMTC.1998.679832
