Bearing fault diagnosis base on multi-scale 2D-CNN model

2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)(2021)

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Abstract
Bearings play an important role as the connection between the motor and the gear. At present, the data collected by most motor bearing datasets are vibration signals in the one-dimensional time domain, and then one-dimensional convolution or other methods are used to analyze the signals. In this work, a fault diagnosis method based on continuous wavelet transform scalogram (CWTS) and multi-scale c...
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Key words
Fault diagnosis,Vibrations,Time-frequency analysis,Continuous wavelet transforms,Convolution,Feature extraction,Wavelet analysis
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