Hamadouche, AnisKouadri, AbdelmalekBakdi, Azzeddine2018-02-182018-02-1820170959-1524https://dspace.univ-boumerdes.dz/handle/123456789/4533enFDIChange-point detectionKernel methodsDensity ratioKullback–LeiblerTennessee Eastman processMachine learningA modified Kullback divergence for direct fault detection in large scale systemsArticle