Diagnosis of automotive emission control system using fuzzy inference

被引：0

作者：

Soliman, A ^{[1
]}

Rizzoni, G ^{[1
]}

Kim, YW ^{[1
]}

机构：

[1] Ohio State Univ, Ctr Automot Res, Columbus, OH 43210 USA

来源：

(SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3 | 1998年

关键词：

automotive emission control system; model-based fault diagnosis; fuzzy expert systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The evolution of the diagnostic equipment for automotive application is the direct effect caused by the implementation of sophisticated and high technology systems in the new passenger cars. The application of fuzzy logic to the diagnosis of automotive systems provides a novice approach that can integrate all of the information available, on- and off-board of the vehicle, in a diagnostic frame. In this paper the use of fuzzy rules generated from the experimental data is addressed. Also, experimental results of the work carried on the integration of fault codes, mathematical model-based approaches, and exhaust emission levels are provided. Copyright (C) 1998 IFAC.

引用

页码：715 / 720

页数：6

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