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Yingjie Liang on Muck Rack

Yingjie Liang

As seen in: MDPI, Physical Review B
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Articles

Bearing Fault Diagnosis for Cross-Condition Scenarios Under Data Scarcity Based on Transformer Transfer Learning Network

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By Jun Zhang, Peidong Xu, Yingjie Liang, Miaoling Wu
| MDPI
1. Introduction Fault diagnosis is a critical technology for the maintenance of industrial equipment, particularly in the context of smart manufacturing and Industry 4.0, where timely and accurate fault detection can substantially reduce downtime and maintenance costs [1].
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Optimization of Mold Heating Structure Parameters Based on Cavity Surface Temperature Uniformity and Thermal Response Rates

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By Xiaolong Qi, Jiaxing Li, Yingjie Liang, Zhonggui Xu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Numerical Investigation of Burial Depth Effects on Tension of Submarine Power Cables

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By Jiayi Shen, Yingjie Liang, Jiawang Chen, Huabin Hong
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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