Ventilation Network Fault Identification Based on Random Forest Algorithm
Aiming at the ventilation network fault caused by the change of wind resistance in coal mine production process,a mathematical model of ventilation network fault identification was established based on ventilation network solution technology,and a fault identification method based on random forest algorithm was proposed.Taking the ventilation network of Taishan Long'an Coal Mine as the research object,the"wind resistance-air volume"fault samples were constructed.RF,BP neural network and support vector machine were used to conduct resistance fault identification tests,and the accuracy of model identification was verified through the test samples,with the accuracy of 91.54%,86.5%and 87.5%,respectively.Random forest fault identification model has the highest accuracy,and has high applicability in ventilation network wind resistance fault diagnosis.
NETL
NSTL
万方数据
维普
