Remaining useful life prediction of automotive engine oils using MEMS technologies

被引：0
作者：
Jagannathan, S [1 ]
Raju, GVS [1 ]
机构：
[1] Univ Texas, Intelligent Syst Lab, San Antonio, TX 78249 USA
来源：
PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2000年
关键词：
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：
This paper proposes a novel adaptive methodology where both micro-sensors and models are used in conjunction with neural network/fuzzy classification algorithm to predict the quality of engine oils. The condition of the engine oil is defined as a single variable and trended. Advanced prognostic algorithms are then applied on the oil condition trends to predict the remaining useful life of engine oils. Experimental results are given.
引用
收藏
页码：3511 / 3512
页数：2
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