FAULT ACCOMMODATION OF MASS AIR FLOW SENSORS IN DIESEL AUTOMOTIVE ENGINES
Giovanni Betta, Domenico Capriglione, Antonio Pietrosanto
Abstract:
This paper deals with the design and the application of Artificial Neural Networks to the fault accommodation of the mass air flow meter in diesel engines. Several architectures are proposed and tested. In order to verify their real applicability to the automotive context, making use of suitable graphical tools and computational load indexes, their performance was compared in terms of accuracy and resource requirements.
Keywords:
Instrument fault accommodation, Artificial Neural Networks (ANNs), Mass air flow meter
Download:
PWC-2006-TC10-009u.pdf
DOI:
-
Event details
Event name:
XVIII IMEKO World Congress
Title:

Metrology for a Sustainable Development

Place:
Rio de Janeiro, BRAZIL
Time:
17 September 2006 - 22 September 2006
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