Open AccessResearch on Cyclic Time Domain Extrapolation of Diesel Engine Crankshaft Load Spectrum Based on SVR Model
Author(s) -
Jinghai Xu,
Qingguo Luo,
Jing Qi,
Xin Liu,
Jun Lu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/4/042097
Subject(s) - extrapolation , crankshaft , time domain , computer science , generalization , diesel engine , domain (mathematical analysis) , mathematics , automotive engineering , engineering , mechanical engineering , mathematical analysis , computer vision
The load spectrum is primarily used to provide a dynamic raw input of a basic load change to the component for simulation calculations or fatigue tests of fatigue life. In the load spectrum compilation of engine crankshaft, in order to preserve the influence of load sequence effect on fatigue damage during extrapolation and improve the accuracy of time domain extrapolation, this paper proposes a cyclic time domain extrapolation method based on SVR model. The research results show that the machine learning model has good learning ability and generalization ability, and the time domain extrapolation method can better realize the expansion of the measured samples of the crankshaft.