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.

On-line sensor fault detection, isolation, and accommodation in automotive engines

CAPRIGLIONE, Domenico;LIGUORI, CONSOLATINA;PIANESE, Cesare;PIETROSANTO, Antonio
2003

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/1061865
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