Fuzzy diagnosis module based on interval fuzzy logic:: Oil analysis application

被引：0

作者：

Sala, Antonio ^{[1
]}

Tormos, Bernardo ^{[2
]}

Macian, Vicente ^{[2
]}

Royo, Emilio ^{[2
]}

机构：

[1] Univ Politecn Valencia, Syst Engn & Control Dept, Cno vera S-N, E-46022 Valencia, Spain

[2] Univ Politecn Valencia, CMT Motores Termicos, Cno vera S-N, E-46022 Valencia, Spain

来源：

INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS II | 2007年

关键词：

fuzzy expert systems; fuzzy diagnosis; uncertain reasoning; interval fuzzy logic;

D O I：

10.1007/978-1-4020-5626-0_6

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 presents the basic characteristics of a prototype fuzzy expert system for condition monitoring applications, in particular, oil analysis in Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality. The requirements and basic knowledge base for an oil analysis application are also outlined as an example.

引用

页码：43 / +

页数：3

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