Comparative analysis of support vector machine, random forest and k-nearest neighbor classifiers for predicting remaining usage life of roller bearings

URN:NBN:SI:doc-KL3RVT9V2024Palaniappan, Rajkumardocuments/doc/K/URN_NBN_SI_doc-KL3RVT9V_001.pdfdocuments/doc/K/URN_NBN_SI_doc-KL3RVT9V_001.txt487articlestr. 39-5210.31449/inf.v48i7.57261854-3871214910979URN:NBN:SI:doc-KL3RVT9VengInformatikaInformatica (Ljubljana)BYnapovedni modeliobrabapodporni vektorski algoritmistrojno učenjeumetna inteligencavaljčni ležajiComparative analysis of support vector machine, random forest and k-nearest neighbor classifiers for predicting remaining usage life of roller bearings