Xiaowu Chen
12 Papers
1 Citations
Xiaowu Chen is an academic researcher. The author has contributed to research in topics: Computer science & Tree (data structure). The author has an hindex of 1, co-authored 2 publications.
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Papers
A long short-term memory neural network based Wiener process model for remaining useful life prediction
Xiaowu Chen,Zhen Li +1 more
TL;DR: Li et al. as mentioned in this paper proposed a Wiener process-based degradation model that can adaptively learn the degradation trend in different degradation data, which avoids the selection of degradation trend function, and obtained accurate remaining useful life predictions.
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An Adaptive Prediction Model for the Remaining Life of an Li-Ion Battery Based on the Fusion of the Two-Phase Wiener Process and an Extreme Learning Machine
TL;DR: The two-phase Wiener model is used to derive the mathematical expression of the remaining useful life (RUL), and the ELM is implemented to adaptively detect the changing point.
Toward 6G TKμ Extreme Connectivity: Architecture, Key Technologies and Experiments
Xiaohu You,Yongming Huang,Shengheng Liu,Rongming Wang,Junchao Ma,Wei Xu,Chuan Zhang,Hang Zhan,Cheng Zhang,Jiao Zhang,Jin Li,Min Zhu,Jianjie You,Yongmei Liu,Shiwen He,Guanghui He,Feng Yang,Yang Liu,Jianjun Wu,Jian Lu,Geoffrey Ye Li,Xiaowu Chen,Wenguang Chen,Wenze Gao +23 more
TL;DR: A radio access network (RAN) architecture of full spectrum uniform cell-free networks, which is among the most at- tractive RAN candidates for 6G TK µ extreme connectivity and demonstrates exciting potentials for full-service and full-scenario applications.
Toward 6G $\text{TK}\mu$ Extreme Connectivity: Architecture, Key Technologies and Experiments
Jianjie You,Yongmei Liu,Feng-Ming Yang,Jianjun Wu,Jian Lu,Xiaowu Chen,Wenguang Chen,Wen Gao +7 more
TL;DR: A radio access network (RAN) architecture of full spectrum uniform cell-free networks, which is among the most attractive RAN candidates for 6G $\text{TK}\mu$ extreme connectivity, and a technological framework of pervasive multi-level (PML) artificial intelligence (Al) is established in the centralized unit to enable task-centric near-real-time resource allocation and network automation.
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Transfer learning based remaining useful life prediction of lithium-ion battery considering capacity regeneration phenomenon
Xiaowu Chen,Zhen Liu,Hanmin Sheng,Kunping Wu,Jinhua Mi,Qi Li +5 more
TL;DR: This paper proposes a transfer learning model for lithium-ion battery remaining useful life prediction, considering capacity regeneration phenomenon, using a non-parametric CR detection algorithm, data reconstruction, and parameter update scheme, achieving higher accuracy and universality.
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