ball bearings; condition monitoring; fault diagnosis; mechanical engineering computing; pattern clustering; transforms; vibrations; FCM-S; acceleration sensor; ball bearing fault diagnosis; bearing fault detection; damaged ball bearings; experimental vibration signals; frequency-domain transform signals; fuzzy c-means; hybrid c-means-subtractive algorithms; hybrid c-means-subtractive clustering; power spectral density; test signal scenarios; undamaged ball bearings; Acceleration; Ball bearings; Clustering algorithms; Fault detection; Feature extraction; Frequency-domain analysis; Vibrations; C-means; fault detection; fuzzy clustering; subtractive clustering; vibration signals;
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