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Degradation monitoring of insulation systems used in low-voltage electromagnetic coils under thermal loading conditions from a creep point of view 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 13, 页码: 1-20
Authors:  Wang K(王锴);  Guo HF(郭海丰);  Xu AD(徐皑冬);  Pecht, Michael
Adobe PDF(7109Kb)  |  Favorite  |  View/Download:93/12  |  Submit date:2020/07/18
electromagnetic coil  insulation degradation monitoring  high-frequency electrical parameter  creep deformation  accelerated testing  
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 97216-97241
Authors:  Li C(李晨);  Kong FJ(孔樊杰);  Wang K(王锴);  Xu AD(徐皑冬);  Zhang, Gexiang;  Xu, Ning;  Liu ZH(刘志华);  Guo HF(郭海丰);  Wang, Xue;  Liang, Kuan;  Yuan, Jianying;  Qi, Shouliang;  Jiang T(蒋涛)
Adobe PDF(6392Kb)  |  Favorite  |  View/Download:118/14  |  Submit date:2019/08/29
Low-voltage electromagnetic coil  insulation degradation monitoring  ensemble learning  machine vision  membrane computing  microscopic image analysis  feature extraction  
Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Based on Microscopic Image Analysis 会议论文
2018 Prognostics and System Health Management Conference, Chongqing, China, October 26-28, 2018
Authors:  Wang K(王锴);  Guo HF(郭海丰);  Xu AD(徐皑冬);  Liu ZH(刘志华);  Li C(李晨);  Kong FJ(孔樊杰);  Qi SL(齐守良)
Adobe PDF(510Kb)  |  Favorite  |  View/Download:103/25  |  Submit date:2018/12/25
low-voltage electromagnetic coil  insulation degradation monitoring  microscopic image analysis  
Creating Self-aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing 期刊论文
IEEE Access, 2018, 卷号: 6, 页码: 69860-69868
Authors:  Wang K(王锴);  Guo HF(郭海丰);  Xu AD(徐皑冬);  Jameson, N. Jordan;  Pecht, Michael;  Yan BJ(闫炳均)
Adobe PDF(9436Kb)  |  Favorite  |  View/Download:141/18  |  Submit date:2018/12/01
Precursor-based Prognostics  Cyber-physical Systems  Electromagnetic Coils  Insulation Degradation Monitoring  Smart Manufacturing