Prediction of primary circuit leakage rate based on gaussian process regression model
The leakage may occur at the flange connection part and sealing surface of pump in primary circuit system due to the drastic change of working condition.In view of the difficult to establish an accurate and complete leakage mechan-ism model,the Gaussian process regression model is used as an alternative model and the uncertainty of the alternative mod-el is calculated quantitatively.Based on the normal random walk of the unmeasurable parameters,the leakage rate of the primary circuit is predicted.The results show that the Gaussian process regression model can calculate the uncertainty of the alternative model,and can accurately predict the leakage rate of the primary circuit in the case of small samples.
gaussian process regression modelthe uncertainty of the alternative modelnormal random walkprimary circuit leakage rate