DocumentCode
2913208
Title
Grey decision making theory approach to the turbocharged diesel engine
Author
Wang, Yinyan ; Du, Jianwei ; Wang, Hechun ; Yang, Chuanlei
Author_Institution
Harbin Eng. Univ., Harbin
fYear
2007
fDate
18-20 Nov. 2007
Firstpage
784
Lastpage
788
Abstract
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.
Keywords
decision making; decision theory; diesel engines; fuel systems; grey systems; grey decision making theory; turbocharged diesel engine; turbocharging system; Chemicals; Decision making; Diesel engines; Fuels; Intelligent systems; Marine vehicles; Mathematical analysis; Power engineering and energy; Power generation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-1294-5
Electronic_ISBN
978-1-4244-1294-5
Type
conf
DOI
10.1109/GSIS.2007.4443381
Filename
4443381
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