Application of Intelligent Algorithms in Fault Prediction and Maintenance of Transportation Electromechanical Equipment
This paper describes the application of intelligent algorithms,analyzes the advantages and challenges of intelligent algorithms,and proposes optimization methods for data preprocessing,feature extraction and selection,model construction and selection,model fusion and updating,in order to improve the efficiency of fault prediction and maintenance.
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