An Integrated Learning Method for Fault Diagnosis of Thermal Decay Phase of Engine
In view of the automobile engine in the stage of thermal decay fault diagnosis,this pa-per puts forward the fault diagnosis of integrated learning method based on isolation forest algorithm and random forest algorithm,isolated forest algorithm by constructing isolation tree to identify anoma-ly,random forest algorithm to build multiple decision tree and synthesize their prediction results to a-nomaly classification.The experimental results show that the ensemble learning model with the random forest algorithm has higher accuracy,robustness and application potential than the traditional baseline model in the fault detection task of anomaly detection and classification of engine data.
万方数据
维普
