Publication Type : Journal Article
Publisher : International Journal of Innovative Technology and Exploring Engineering (IJITEE)
Source : International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume 9, Issue 10, p.260-264 (2020)
Url : https://www.ijitee.org/wp-content/uploads/papers/v9i10/J74940891020.pdf
Keywords : Brake thermal efficiency., Engine Performance, Support vector regression
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2020
Abstract : Extensive research has been carried out on the prediction of diesel engine performance. Machine learning techniques such as support vector regression technique makes the performance predictions simpler. Support vector regression is a regression algorithm used to minimize the error with a threshold value and tries to fit the best line with a threshold value. In this paper, a detailed study of diesel engine performance using support vector regression and performance metrics such as brake thermal efficiency and accuracy are explored. Findings specify that support vector regression is an efficient technique for diesel engine performance that validates and compares the actual performance with high accuracy. For engine performance, the support vector machine supports to reduce the time and cost of testing.
Cite this Research Publication : A. Jannumahanthi and Sivanesan Murugesan, “Prediction of Diesel Engine Performance using Support Vector Regression Technique”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 9, no. 10, pp. 260-264, 2020.