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. Betta | 1 | 140 | 45.91 |
C. Liguori | 2 | 5 | 1.26 |
A. Pietrosanto | 3 | 148 | 37.24 |