Autocorrelation Aided Random Forest Classifier-Based Bearing Fault Detection Framework
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DOI: 10.1109/jsen.2020.2995109
Abstract: Rolling bearing defects in induction motors are usually diagnosed using vibration signal analysis. For accurate detection of rolling bearing defects, appropriate feature extraction from vibration signals is necessary, failure of which may lead to incorrect… read more here.
Keywords: fault; detection; vibration; vibration signals ... See more keywords