Identification of faults in ball bearing using maximum overlap discrete wavelet transform and mutual information
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0182911
Reference35 articles.
1. A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings
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3. A Comparative Study to Predict Bearing Degradation Using Discrete Wavelet Transform (DWT), Tabular Generative Adversarial Networks (TGAN) and Machine Learning Models
4. Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell
5. Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system
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