Title :
Real-Time Implementation of IFDIA Scheme in Automotive Systems
Author :
Capriglione, Domenico ; Liguori, Consolatina ; Pietrosanto, Antonio
Author_Institution :
Dept. of Autom., Electromagnetism, Comput. Sci., & Ind. Math., Univ. of Cassino
fDate :
6/1/2007 12:00:00 AM
Abstract :
The paper describes the implementation of an instrument fault detection, isolation, and accommodation (IFDIA) system developed for real-time automotive applications. The IFDIA architecture, which is based on artificial neural networks, was used to locate and accommodate faults that could occur in the main sensors involved in managing engine operation. Numerous online tests carried out in a variety of engine operating and vehicle drive conditions have confirmed the validity of the diagnostic procedure and its onboard applicability
Keywords :
automotive electronics; electric sensing devices; electronic engineering computing; engines; fault location; fault tolerance; neural nets; real-time systems; IFDIA scheme; artificial neural networks; automotive engines; automotive systems; fault-tolerant systems; instrument fault detection isolation and accommodation; online system; real-time implementation; sensor-fault location; Automotive engineering; Control systems; Engines; Fault detection; Fuels; Pollution measurement; Real time systems; Sensor systems; Temperature sensors; Vehicle safety; Artificial neural network (ANN); automotive engines; fault-tolerant systems; online system; sensor-fault location;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2007.894899
