Reliability prediction of engine systems using least square support vector machine

Accurate reliability prediction is important for assessing product performances and making maintenance plans. This research applies least square support vector machine (LSSVM) in reliability analysis of engine systems. To evaluate the predictive performance of LSSVM, a comparative study is made and the probability distribution of the forecasting outcomes is analyzed. The experiment simulation results show LSSVM can provide accurate predictions.