Title
Comparison between IFDI schemes based on expert systems and neural networks
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 ...
Year
DOI
Venue
1998
10.1109/19.746565
IEEE Transactions on Instrumentation and Measurement
Keywords
DocType
Volume
Expert systems,Neural networks,Artificial neural networks,Automatic control,Fault detection,Diagnostic expert systems,Instruments,Performance analysis,Temperature control,Control systems
Journal
47
Issue
ISSN
Citations 
5
0018-9456
5
PageRank 
References 
Authors
1.26
5
3
Name
Order
Citations
PageRank
G. Betta114045.91
C. Liguori251.26
A. Pietrosanto314837.24