Learning convolution neural network with shift pitching based data augmentation for vibration analysis

• Main Authors: Esa, M. F. M., Mustaffa, N. H., Omar, H., Radzi, N. H. M., Sallehuddin, R.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/92853/1/NoorfaHaszlinnaMustaffa2020_LearningConvolutionNeuralNetworkwithShiftPitching.pdf; http://eprints.utm.my/id/eprint/92853/; http://dx.doi.org/10.1088/1757-899X/864/1/012086
• Institution: Universiti Teknologi Malaysia

Data augmentation is a common approach that been implemented in order to increase the training data quantity for Convolutional Neural Networks in signal processing, image recognition and speech recognition. However, the conventional data augmentation methods usually implement the window slicing and...