Details Details PDF BIBTEX RIS Title An AutoML-based comparative evaluation of machine learning methods for detection of eccentricity faults in induction motors by using vibration signals Journal title Metrology and Measurement Systems Yearbook 2024 Volume vol. 31 Issue No 4 Authors Irgat, Eyüp ; Ünsal, Abdurrahman Affiliation Irgat, Eyüp : Department of Kutahya Technical Sciences Vocational School, Kutahya Dumlupinar University, Evliya Celebi Campus, 43100 Kutahya, Turkey ; Ünsal, Abdurrahman : Department of Electrical Electronics Engineering, Kutahya Dumlupinar University, Evliya Celebi Campus, 43100 Kutahya, Turkey Keywords Induction motors ; eccentricity faults ; machine learning techniques ; fault detection ; vibration analysis ; AutoML Divisions of PAS Nauki Techniczne Coverage 831–848 Publisher Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation Date 30.12.2024 Type Article Identifier DOI: 10.24425/mms.2024.152052 <div class="test"></div>