Real-time implementation of IFDIA scheme in automotive system

Author

Capriglione, Domenico ; Liguori, Consolatina ; Pietrosanto, A.

Author_Institution

Cassino Univ., Italy

Volume

3

fYear

2004

fDate

18-20 May 2004

Firstpage

1667

Abstract

The paper describes the implementation of an Instrument Fault Detection, Isolation and Accommodation (IFDIA) scheme developed for real-time automotive applications. The IFDIA architecture, based on artificial neural networks (ANNs) and inference rules, was employed to locate and accommodate faults that could occur on the main sensors involved in the management of the engine operating. Many on-line tests carried out in several engine working and vehicle drive conditions, prove the goodness of the diagnostic procedure and its on-board applicability.

Keywords

automotive electronics; backpropagation; fault location; fault tolerance; inference mechanisms; internal combustion engines; neural nets; IFDIA scheme; analytical redundancy-based scheme; artificial neural networks; automotive system; backpropagation algorithm; fault isolation; fault tolerant systems; hybrid solution; inference rules; instrument fault detection-isolation-accommodation; on-board applicability; on-line tests; real-time implementation; sensor fault location; sensor-based electronic systems; sigmoid transfer function; spark ignition engine; Automotive engineering; Engines; Fuels; Ignition; Pollution measurement; Pressure measurement; Real time systems; Sparks; Temperature sensors; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE

ISSN

1091-5281

Print_ISBN

0-7803-8248-X

Type

conf

DOI

10.1109/IMTC.2004.1351401

Filename

1351401