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

Volume

47

Issue

5

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

1106

Lastpage

1111

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;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.746565

Filename

746565