Algorithm of intelligent fault diagnose technology for network of manufacturing enterprise
LI Honghui
ZHAO Jingjing
YANG Fangnan
Abstract：An intelligent fault diagnose algorithm(Classified Sample Random Forest,CSRF) is proposed according to the characteristics of manufacturing enterprise network.The algorithm combines the basic principle of random forest algorithm,using classified sampling technology to generate the required training samples,and largely solved the problem caused by data imbalance.The algorithm can generate the corresponding training data for each classification and regression tree (CART) in random forest,which alleviates the sampling bias and improves the performance of the algorithm.Experiments show that the algorithm improves the accuracy rate by about 4％ compared with the random forest algorithm,and reduces the risk of fault diagnosis effectively.
Keywords：industrial ethernetintelligent algorithmsampling algorithmrandom forest
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 54-58 )