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Weigen Chen
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2020 – today
- 2024
- [j13]Meng Li, Weigen Chen, Zhiwei Shen, Ziyi Wang
, Zifeng Ming, Changding Wang
Characterization of Temperature and Strain Changes in Lithium-Ion Batteries Based on a Hinged Differential Lever Sensitization Fiber Bragg Grating Strain-Temperature Simultaneous-Measurement Sensor. Sensors 24(2): 412 (2024) - [j12]Hong Liu, Zhixian Zhang, Haoyuan Tian, Yuxuan Song, Jianxin Wang, Zhiqing Shu, Weigen Chen:
Comparison of Different Coupling Types of Fiber-Optic Fabry-Perot Ultrasonic Sensing for Detecting Partial Discharge Faults in Oil-Paper Insulated Equipment. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j11]Zhixian Zhang
Novel Approach for Partial Discharge Localization Based on Fiber-Optic F-P Sensing Array and Modified TDOA in a 110-kV Transformer. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j10]Guochao Qian, Weigen Chen, Kejie Wu, Hong Liu, Jianxin Wang, Zhixian Zhang:
Research on Transformer Omnidirectional Partial Discharge Ultrasound Sensing Method Combining F-P Cavity and FBG. Sensors 23(24): 9642 (2023) - [j9]Ruimin Song
Transformer Aging Diagnosis Method Based on Raman Spectroscopy Wavelet Packet-SPCA Feature Extraction. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [j8]Yubo Zhang
Degradation Trajectory Prognostics for Lithium-Ion Batteries Under Varied Operating Conditions With a Hybrid-Driven Method. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c7]Yaotian Bai, Hongcheng Sun, Yingkai Long, Weigen Chen, Fu Wan:
Cavity-enhanced Raman Spectroscopy Detection Technology Based on Optical Feedback for Dissolved Fault Gases in Transformer Oil. iSPEC 2023: 1-4 - [c6]Weiping Kong, Fu Wan, Hongcheng Sun, Yingkai Long, Weigen Chen:
Research on Fiber-enhanced Raman Spectroscopy Detection of Transformer Hydrocarbon Fault Gas. iSPEC 2023: 1-5 - [c5]Tongqin Ran, Hongcheng Sun, Yingkai Long, Weigen Chen, Fu Wan:
In-situ Raman Spectroscopy Detection of Dissolved Gases in Transformer Oil Based on Oil-gas Separation Membrane. iSPEC 2023: 1-4 - [c4]Hongcheng Sun, Yaotian Bai, Yingkai Long, Weigen Chen, Fu Wan:
Cavity-enhanced Raman Spectroscopy for Simultaneous Detection of Characteristic Dissolved Gases in Oil. iSPEC 2023: 1-4 - 2021
- [j7]Ruimin Song
Aging Assessment of Oil-Paper Insulation Based on Visional Recognition of the Dimensional Expanded Raman Spectra. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
2010 – 2019
- 2019
- [j6]Suning Liang
Significantly Improved Electrical Breakdown Strength of Natural Ester Liquid Dielectrics by Doping Ultraviolet Absorbing Molecules. IEEE Access 7: 73448-73454 (2019) - [j5]Dingkun Yang
Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis. IEEE Access 7: 127862-127873 (2019) - [j4]Shuchao Wang, Fu Wan, Hong Zhao, Weigen Chen, Weichao Zhang, Quan Zhou:
A Sensitivity-enhanced Fiber Grating Current Sensor Based on Giant Magnetostrictive Material for Large-Current Measurement. Sensors 19(8): 1755 (2019) - 2018
- [c3]Gongwei Xiao, Weigen Chen, Chutian Yu, Lingfeng Jin:
Study on ZnO-based gas sensor for detection of acetylene dissolved in transformer oil. I2MTC 2018: 1-6 - 2017
- [j3]Hongcheng Liu
Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p-n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2. Sensors 17(4): 913 (2017) - 2014
- [j2]Youyuan Wang
Design of a UHF Antenna for Partial Discharge Detection of Power Equipment. J. Sensors 2014: 839386:1-839386:8 (2014) - 2013
- [j1]Qu Zhou, Weigen Chen, Lingna Xu, Shudi Peng:
Hydrothermal Synthesis of Various Hierarchical ZnO Nanostructures and Their Methane Sensing Properties. Sensors 13(5): 6171-6182 (2013) - 2010
- [c2]Wen-dou An, Quan Zhou, Xin Zhang, Yuzhong Qin, Weigen Chen:
An immune genetic algorithm based approach for distribution system reconfiguration. ICNC 2010: 92-95
2000 – 2009
- 2009
- [c1]Xingang Chen, Weigen Chen, Yi Yang, Liangling Gu:
Study on Method of Identifying Dissolved Gases in Transformer Oil Based on Improved Artificial Neural Network Algorithm. ISNN (1) 2009: 863-869
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