Ensemble augmentation for deep neural networks using 1-D time series vibration data

• Main Authors: Faysal, Atik, Ngui, Wai Keng, Lim, Meng Hee, Leong, Muhammad Salman
• Format: Article
• Published: Springer Nature 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104991/; http://dx.doi.org/10.1007/s42417-022-00683-w
• Institution: Universiti Teknologi Malaysia

Purpose: Deep Neural Networks (DNNs) typically require enormous labeled training samples to achieve optimum performance. Therefore, numerous forms of data augmentation techniques are employed to compensate for the lack of training samples. Methods: In this paper, a data augmentation technique named...