<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gougam, Fawzi</style></author><author><style face="normal" font="default" size="100%">Chemseddine, Rahmoune</style></author><author><style face="normal" font="default" size="100%">Benazzouz, Djamel</style></author><author><style face="normal" font="default" size="100%">Benaggoune, Khaled</style></author><author><style face="normal" font="default" size="100%">Zerhouni, Noureddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering ScienceProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">20</style></number><volume><style face="normal" font="default" size="100%">235</style></volume><pages><style face="normal" font="default" size="100%">5186-5197</style></pages><isbn><style face="normal" font="default" size="100%">0954-4062</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>