DocumentCode
783307
Title
On-line sensor fault detection, isolation, and accommodation in automotive engines
Author
Capriglione, Domenico ; Liguori, Consolatina ; Pianese, Cesare ; Pietrosanto, Antonio
Author_Institution
Univ. of Cassino, Italy
Volume
52
Issue
4
fYear
2003
Firstpage
1182
Lastpage
1189
Abstract
This paper describes the hybrid solution, based on artificial neural networks (ANNs), and the production rule adopted in the realization of an instrument fault detection, isolation, and accommodation scheme for automotive applications. Details on ANN architectures and training are given together with diagnostic and dynamic performance of the scheme.
Keywords
automotive electronics; fault diagnosis; intelligent sensors; neural nets; IFDIA system; artificial neural networks; automotive engine; fault accommodation; fault isolation; instrument fault detection; on-line sensor; production rule; Artificial neural networks; Automotive engineering; Control systems; Engines; Fault detection; Instruments; Manifolds; Redundancy; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2003.815994
Filename
1232365
Link To Document