Name
Abstract | ||
|---|---|---|
The paper describes the hybrid solution, based on Artificial Neural Networks, ANNs, and production rule adopted in the realization of an Instrument Fault Detection, Isolation, and Accommodation scheme for automotive applications. Details on the ANN architectures and training are given together with diagnostic and dynamic performance of the scheme. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/IMTC.2002.1007218 | Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE |
Keywords | DocType | Volume |
automotive electronics,fault diagnosis,intelligent sensors,internal combustion engines,neural nets,IFDIA instrument,artificial neural network,automotive engine,fault accommodation,fault detection,fault isolation,on-line sensor,production rule | Journal | 2 |
Issue | ISSN | Citations |
4 | 1091-5281 | 22 |
PageRank | References | Authors |
1.69 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Domenico Capriglione | 1 | 105 | 24.33 |
| Consolatina Liguori | 2 | 150 | 32.06 |
| C Pianese | 3 | 31 | 5.80 |
| A. Pietrosanto | 4 | 148 | 37.24 |