Grey decision making theory approach to the turbocharged diesel engine

被引:0
|
作者
Wang, Yinyan [1 ]
Du, Jianwei [1 ]
Wang, Hechun [1 ]
Yang, Chuanlei [1 ]
机构
[1] Harbin Engn Univ, Coll Power & Energy Engn, Harbin 150001, Peoples R China
关键词
D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Diesel engine is a complex system, and involves uncertainty with respect to parameter inputs and outputs. Grey theory is one of the methods used to study uncertainty, being superior in the mathematical analysis of systems with uncertain information. In order to find out the suitable turbocharging system for the diesel engine, grey decision making theory was used to evaluate different turbocharging systems of diesel engine. This study used four operating situation's experimental data of four turbocharging systems, to find the best turbocharging ways for the diesel engine. The work procedure is as follows: firstly, grey decision making theory was used to each operating situation, integrated effect measure of each operating situation was calculated. Secondly, a matrix is made up of integrated effect measures, and grey decision making theory was used again to calculate effect measure of all operating situations. Finally, the ranking order of four turbocharging systems was given. The good agreement between the result of grey decision making theory and practice proves that grey decision making theory is suitable to choose turbocharging systems for diesel engines.
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收藏
页码:784 / 788
页数:5
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