Fuzzy logic-based expert system for diesel engine oil analysis diagnosis

被引：14
|
作者：
Macian, V.
Tormos, B.
Sala, A.
Ramirez, J.
机构：
[1] Univ Politecn Valencia, CMT Motores Term, E-46022 Valencia, Spain
[2] Inst Tecnol Chihuahua, Chihuahua, Mexico
[3] Univ Politecn Valencia, Dept Thermal Engines, Valencia, Spain
[4] Univ Politecn Valencia, Syst Engn & Control Dept, E-46022 Valencia, Spain
来源：
INSIGHT | 2006年 / 48卷 / 08期
关键词：
Diesel engines - Expert systems - Fuzzy sets;
D O I：
10.1784/insi.2006.48.8.462
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Expert systems have been used in condition monitoring for many years. The implementation and use of these systems have met with varying degrees of success. This paper presents a prototype fuzzy logic-based expert system for condition monitoring applications, in particular, diesel engines oil analysis diagnosis. The system allows for reasoning under incomplete or imprecise measurements, providing an interval valued diagnostic of the suspected severity of a particular engine fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality.
引用
收藏
页码：462 / 469
页数：8
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