Open AccessEnsemble Empirical Mode Decomposition (EEMD) and Teager-Kaiser Energy Operator (TKEO) Based Damage Identification of Roller Bearings Using One-Class Support Vector Machine
Author(s) -
Ali Akbar Tabrizi,
Luigi Garibaldi,
Alessandro Fasana,
Stefano Marchesielo
Publication year - 2014
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - hilbert–huang transform , support vector machine , artificial intelligence , energy operator , pattern recognition (psychology) , computer science , class (philosophy) , energy (signal processing) , operator (biology) , mode (computer interface) , speech recognition , identification (biology) , decomposition , mathematics , statistics , botany , biology , operating system , ecology , biochemistry , chemistry , repressor , transcription factor , gene