Application of Artificial Intelligence Model Based on Self Net in the Failure Prediction Scenario of Fan Root Bolt
In response to the failure problem of fan blade root bolts,this paper proposes a stacked tree artificial intelligence model based on self buffer net.This model integrates backtracking training layer,overlay tree model,Masked feature model,and LightGBM model to predict the failure probability of fan blade root bolts.After experimental verification,the model has high accuracy and stability in predicting the failure probability of fan blade root bolts,providing an effective solution for predicting the failure scenario of fan blade root bolts.
failure prediction of fan blade root boltsself netmasked feature modelLightGBM
NETL
NSTL
万方数据
