#machinelearningtutorial #python #keras #deeplearning #neuralnet #DatadrivenFaultDiagnosis #bearing #IntelligentFaultDiagnosis #conditionmonitoring
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This video deals with fault diagnosis of bearing, without any preprocessing. Direct raw acceleration data is used to train Deep Learning models and their performance evaluated. Outputs of hidden layers are visualized using t-SNE dimensionality reduction.
PART-1 - • Data Preprocessing || Deep Learning f...
PART-2 - • ANN model training || Deep Learning f...
PART-3 - • 1D-CNN for Bearing Vibration || Deep ...
PART-4 - • 1D-CNN with Multiple Kernels || Deep ...
PART-5 - • 2D-CNN - Vibration Signal to Image ||...
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CWRU Dataset - https://engineering.case.edu/bearingd...
GitHub Link- https://github.com/mohan696matlab/CWR...