FAULT-DETECTION AND ISOLATION FOR AN EXPERIMENTAL INTERNAL-COMBUSTION ENGINE VIA FUZZY IDENTIFICATION

被引：48
|
作者：
LAUKONEN, EG [1 ]
PASSINO, KM [1 ]
KRISHNASWAMI, V [1 ]
LUH, GC [1 ]
RIZZONI, G [1 ]
机构：
[1] OHIO STATE UNIV,DEPT MECH ENGN,COLUMBUS,OH 43210
来源：
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 1995年 / 3卷 / 03期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/87.406983
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Certain engine faults can be detected and isolated by examining the pattern of deviations of engine signals from their nominal unfailed values. In this brief paper, we show how to construct a fuzzy identifier to estimate the engine signals necessary to calculate the deviation from nominal engine behavior, so that we may determine if the engine has certain actuator and sensor ''calibration faults.'' We compare the fuzzy identifier to a nonlinear ARMAX technique and provide experimental results showing the effectiveness of our fuzzy identification based failure detection and identification strategy.
引用
收藏
页码：347 / 355
页数：9
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