Z
Zhibin Zhao
Researcher at Xi'an Jiaotong University
Publications - 77
Citations - 2614
Zhibin Zhao is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 15, co-authored 58 publications receiving 866 citations.
Papers
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Journal ArticleDOI
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
TL;DR: A deep transfer learning (DTL) network based on sparse autoencoder (SAE) is presented and case study on remaining useful life (RUL) prediction of cutting tool is performed to validate effectiveness of the DTL method.
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Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study.
TL;DR: A comprehensive evaluation of DL-based intelligent diagnosis models with two data split strategies, five input formats, three normalization methods, and four augmentation methods is performed, and a unified code framework for comparing and testing models fairly and quickly is released.
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Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
TL;DR: Zhao et al. as mentioned in this paper constructed a taxonomy and performed a comprehensive review of unsupervised deep transfer learning (UDTL)-based intelligent fault diagnosis (IFD) according to different tasks.
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Sparse Deep Stacking Network for Fault Diagnosis of Motor
TL;DR: The sparse DSN (SDSN) extends tradition DSN in sparsity characterization using a sparse regularization term to set irrelevant element to be zero, by which effectiveness of SDSN is enhanced.
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Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
TL;DR: Few-shot transfer learning method is constructed utilizing meta-learning for few-shot samples diagnosis in variable conditions using a unified 1D convolution network for many-shot diagnosis of three datasets.