
A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings
Author(s) -
Ali Kahirdeh
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.1579
Subject(s) - vibration , condition monitoring , ball (mathematics) , signal processing , feature vector , engineering , fault (geology) , feature (linguistics) , signal (programming language) , acoustic emission , computer science , pattern recognition (psychology) , artificial intelligence , control engineering , acoustics , electronic engineering , digital signal processing , mathematics , electrical engineering , physics , mathematical analysis , linguistics , philosophy , seismology , geology , programming language