Comparison between IFDI schemes based on expert systems and neural networks

Authors
Betta, G Liguori, C Pietrosanto, A
Citation
G. Betta et al., Comparison between IFDI schemes based on expert systems and neural networks, IEEE INSTR, 47(5), 1998, pp. 1106-1111
Citations number
37
Categorie Soggetti
Instrumentation & Measurement
Journal title
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
ISSN journal
00189456 → ACNP
Volume
47
Issue
5
Year of publication
1998
Pages
1106 - 1111
Database
ISI
SICI code
0018-9456(199810)47:5<1106:CBISBO>2.0.ZU;2-B
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 examp le of comparison is described in detail referring to a measurement and cont rol station dedicated to the automatic control of a heat ventilating and ai r conditioning system.