Real-time implementation of IFDIA scheme in automotive systems

被引：15
|
作者：
Capriglione, Domenico [1 ]
Liguori, Consolatina
Pietrosanto, Antonio
机构：
[1] Univ Cassino, Dept Automat Electromagnetism Comp Sci & Ind Math, DAEIMI, I-03043 Cassino, FR, Italy
[2] Univ Salerno, Dept Elect & Informat Engn, DIIIE, I-84084 Fisciano, SA, Italy
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2007年 / 56卷 / 03期
关键词：
artificial neural network (ANN); automotive engines; fault-tolerant systems; online system; sensor-fault location;
D O I：
10.1109/TIM.2007.894899
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：824 / 830
页数：7
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