User profiles for Chuang Sun
Chuang SunXi'an Jiaotong University Verified email at xjtu.edu.cn Cited by 6090 |
Interface Engineering via Ti3C2Tx MXene Electrolyte Additive toward Dendrite-Free Zinc Deposition
C Sun, C Wu, X Gu, C Wang, Q Wang - Nano-micro letters, 2021 - Springer
Zinc metal batteries have been considered as a promising candidate for next-generation
batteries due to their high safety and low cost. However, their practical applications are severely …
batteries due to their high safety and low cost. However, their practical applications are severely …
Applications of unsupervised deep transfer learning to intelligent fault diagnosis: A survey and comparative study
Recent progress on intelligent fault diagnosis (IFD) has greatly depended on deep representation
learning and plenty of labeled data. However, machines often operate with various …
learning and plenty of labeled data. However, machines often operate with various …
Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Prognostics and Health Management (PHM), including monitoring, diagnosis, prognosis,
and health management, occupies an increasingly important position in reducing costly …
and health management, occupies an increasingly important position in reducing costly …
[HTML][HTML] Antitumor responses in the absence of toxicity in solid tumors by targeting B7-H3 via chimeric antigen receptor T cells
…, D Michaud, K Greene, SG Herrera, Y Xu, C Sun… - Cancer cell, 2019 - cell.com
The high expression across multiple tumor types and restricted expression in normal tissues
make B7-H3 an attractive target for immunotherapy. We generated chimeric antigen …
make B7-H3 an attractive target for immunotherapy. We generated chimeric antigen …
Deep transfer learning based on sparse autoencoder for remaining useful life prediction of tool in manufacturing
… Sun presented a sparse deep stacking network for adaptive fea… Sun proposed a convolutional
discriminative network for feature … Chuang Sun received the Ph.D. degree in mechanical …
discriminative network for feature … Chuang Sun received the Ph.D. degree in mechanical …
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Rotating machinery intelligent diagnosis based on deep learning (DL) has gone through
tremendous progress, which can help reduce costly breakdowns. However, different datasets …
tremendous progress, which can help reduce costly breakdowns. However, different datasets …
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Deep learning (DL)-based methods have advanced the field of Prognostics and Health
Management (PHM) in recent years, because of their powerful feature representation ability. The …
Management (PHM) in recent years, because of their powerful feature representation ability. The …
Sparse deep stacking network for fault diagnosis of motor
… Sun proposed a CNN-based convolutional discriminative … of motor bearing [15], and
Sun utilized the AE network for motor fault … Chuang Sun received the Ph.D. degree in mechanical …
Sun utilized the AE network for motor fault … Chuang Sun received the Ph.D. degree in mechanical …
A focus review on 3D printing of wearable energy storage devices
Three‐dimensional (3D) printing has gained popularity in a variety of applications,
particularly in the manufacture of wearable devices. Aided by the large degree of freedom in …
particularly in the manufacture of wearable devices. Aided by the large degree of freedom in …
WaveletKernelNet: An interpretable deep neural network for industrial intelligent diagnosis
Convolutional neural network (CNN), with the ability of feature learning and nonlinear
mapping, has demonstrated its effectiveness in prognostics and health management (PHM). …
mapping, has demonstrated its effectiveness in prognostics and health management (PHM). …