Synthetic Data Augmentation and Deep Learning for the Fault Diagnosis of Rotating Machines
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- Brian Kenji Iwana & Seiichi Uchida, 2021. "An empirical survey of data augmentation for time series classification with neural networks," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-32, July.
- Chujie Tian & Jian Ma & Chunhong Zhang & Panpan Zhan, 2018. "A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network," Energies, MDPI, vol. 11(12), pages 1-13, December.
- Xiang Li & Wei Zhang & Qian Ding & Jian-Qiao Sun, 2020. "Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 433-452, February.
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Cited by:
- Fengyun Xie & Gan Wang & Jiandong Shang & Enguang Sun & Sanmao Xie, 2023. "Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation," Mathematics, MDPI, vol. 11(12), pages 1-19, June.
- O-Jong Kim & Changdon Kee, 2023. "Wavelet and Neural Network-Based Multipath Detection for Precise Positioning Systems," Mathematics, MDPI, vol. 11(6), pages 1-22, March.
- Yeong Rim Noh & Salman Khalid & Heung Soo Kim & Seung-Kyum Choi, 2023. "Intelligent Fault Diagnosis of Robotic Strain Wave Gear Reducer Using Area-Metric-Based Sampling," Mathematics, MDPI, vol. 11(19), pages 1-22, September.
- Pan Zheng & Wenqin Zhao & Yaqiong Lv & Lu Qian & Yifan Li, 2022. "Health Status-Based Predictive Maintenance Decision-Making via LSTM and Markov Decision Process," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
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Keywords
data augmentation; rotor system; fault diagnosis; transfer learning; deep learning;All these keywords.
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