The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks

被引：35
|
作者：
Gajewski, Jakub [1 ]
Valis, David [2 ]
机构：
[1] Lublin Univ Technol, Fac Mech Engn, Dept Machine Design & Mechatron, Nadbystrzycka 36 Str, PL-20618 Lublin, Poland
[2] Univ Def, Kounicova 65, Brno 66210, Czech Republic
来源：
TRIBOLOGY INTERNATIONAL | 2017年 / 115卷
关键词：
Oil; Neural networks; Reliability; Diagnostics; TIME-SERIES; PREDICTIVE MAINTENANCE; ACOUSTIC-SIGNALS; RESIDUAL LIFE; MODEL; DIAGNOSTICS; IDENTIFICATION; OPTIMIZATION; SYSTEMS;
D O I：
10.1016/j.triboint.2017.06.032
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
[No abstract available]
引用
收藏
页码：557 / 572
页数：16
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