Earticle

초록

영어

To improve these unscientific methods, I would like to design a system that automatically tells replacement time of engine oil by fuzzy algorithm. There are ‘time series analysis’ and ‘cause and effect’ analysis in quantitative method. Time series analysis is to forecast the value by choosing one variable with the basis of historical data. All methods of demanding forecasting belong to time series analysis. Cause and effect analysis is the method, which makes a model by the relation between past values of other variables and the particular variable when the variable is influenced by other variables. In the thesis to replace engine oil in optimum time and to be aware of right replacement time of engine oil automatically.

목차

Abstract
 1. Introduction
 2. Examination of Condition of Engine Oil
 3. Forecasting the replacement time of engine oil by using neural net
 4. Fuzzy algorithm for replacement of engine oil
 5. Conclusion
 References

키워드

저자

• Chang Duk Jung [ Dept. of computer and information Korea University, Seoul, South Korea ]
• Jang Mook Kang [ Dept. Of Computer Engineering, Sejong University, South Korea ]
• Chan Hyuk Park [ Dept. of software Korea University, Seoul, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605