Prediction of Explosion Limits of Multi-Component Gas Mixture Using LS-SVR

In safety engineering, lower and upper explosion limits are the important indices to evaluate the safety of multi-component explosive gas mixture such as hydrogen and methane. There is a nonlinear dependence of explosion limits on the composition (components and theirs concentration) of multi-component explosive gas mixture. Therefore, a least square support vector regression (LS-SVR) model was proposed to establish a non-linear model between the composition of the explosive mixture and the explosion limits. The results show that the LS-SVR model predicted explosion limits with good accuracy. The selection of input variables for the LS-SVR showed significant effect on the predictive accuracy.