IFDIA方案在汽车系统中的实时实现

Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510) Pub Date : 2004-05-18 DOI:10.1109/IMTC.2004.1351401

D. Capriglione, C. Liguori, A. Pietrosanto

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引用次数: 14

摘要

本文介绍了为实时汽车应用开发的仪表故障检测、隔离和调节(IFDIA)方案的实现。IFDIA架构基于人工神经网络(ann)和推理规则，用于定位和适应可能发生在发动机运行管理中涉及的主要传感器上的故障。在多种发动机工况和车辆行驶工况下进行了多次在线试验，证明了该诊断程序的有效性和车载适用性。

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Real-time implementation of IFDIA scheme in automotive system

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.

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Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)

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