A Method for Capturing Abnormal Temperature Rise Based on KMeans and Random Forest
In response to the frequent occurrence of fire caused by line aging and overload,this article analyzes the correlation between line aging,line overload,and abnormal temperature rise.Using current values and cable temperature as inputs,KMeans clustering algorithm is used to divide the possible intervals of abnormal temperature rise.Random Forest algorithm is used to identify line overload problems,and users can be notified in advance to rectify the line and prevent the occurrence of fire.
line overloadabnormal temperature riseRandom ForestKMeans
NETL
NSTL
万方数据
