Title :
Comparison between IFDI schemes based on expert systems and neural networks
Author :
Betta, Giovanni ; Liguori, Consolatina ; Pietrosanto, Antonio
Author_Institution :
Dept. of Ind. Eng., Cassino Univ., Italy
fDate :
10/1/1998 12:00:00 AM
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 analyzed 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 :
air conditioning; artificial intelligence; computerised instrumentation; fault location; neural nets; performance evaluation; ventilation; IFDI schemes; air conditioning system; artificial-intelligence; automatic control; control station; diagnostic performance; expert systems; fault isolation; heat ventilating system; instrument fault detection; measurement station; neural networks; optimum solution; Artificial neural networks; Automatic control; Control systems; Diagnostic expert systems; Expert systems; Fault detection; Instruments; Neural networks; Performance analysis; Temperature control;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
