Results 41 to 50 of about 124 (111)
Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor. [PDF]
Sensors (Basel), 2023 Fu Y +8 more
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Iranian Journal of Electrical and Electronic Engineering, 2011 This paper consist of two sections: control and stabilizing approach for chaotic behaviour of converter is introduced in first section of this paper for the removal of harmonic caused by the chaotic behaviour in current converter.
H. Abbasi, A. Gholami, A. Abbasi,
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Leakage Current Sensor and Neural Network for MOA Monitoring. [PDF]
Comput Intell Neurosci, 2022 He T, Li Y, Zhang Z, Shen P, Zhang Y.
europepmc +1 more source
Cold-Sintered ZnO Ceramic Composites Co-Doped with Polytetrafluoroethylene and Oxides. [PDF]
Molecules, 2023 Xiao Y +7 more
europepmc +1 more source
Iranian Journal of Electrical and Electronic Engineering, 2011 this work studies the effect of neutral earth resistance on the controlling ferroresonance oscillation in the power transformer including MOV surge arrester.
H. Radmanesh, M. Rostami
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Power Electronics Revolutionized: A Comprehensive Analysis of Emerging Wide and Ultrawide Bandgap Devices. [PDF]
Micromachines (Basel), 2023 Rafin SMSH +5 more
europepmc +1 more source
Dianci bileiqi, 2018 为了有效利用金属氧化物避雷器（metal oxide surge arrester,简称MOA）进行线路雷电防护,需要准确分析避雷器结构参数对雷击能量与电场的影响。本文利用COMSOL软件建立110kV MOA模型,介绍其材料参数设置及求解方法,对MOA模型进行仿真冲击,并与试验数据进行对比。最后分析避雷器电阻芯直径和高度、绝缘层介电常数和厚度对避雷器吸收能量和电场强度的影响。分析结果表明:COMSOL中建立的MOA模型仿真数据与试验结果较为一致,能较好反映其在雷电流冲击下的响应特性。电阻芯直径越大 ...
张子建, 董毅, 张天, 卢钺
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High Current Pulse Transducer for Metal-Oxide Surge Arresters
, 2015 ?????????????????????????? ???????????????????? ?????????? 160 ???? ?? ???????? ???? ???????????? ??????????????-???????????????? ???????????????????? ?? ?????????????????????????????? ?? ???????????????? ??????????????????. ???????????????? ?????????????????? ?????????????? ?????????????????? ?????? ?????????????????????? ???????????????????? ?? ??????
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Research on Protection Performance of Surge Protective Devices against Electromagnetic Pulse.
Appl Bionics Biomech, 2022 Zhao Z, Wang S, Cui Y.
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Gaoya dianqi估算金属氧化物避雷器的使用寿命一直是一项挑战，它决定着输电系统的安全稳定运行。基于此，文中提出了一种基于自适应神经模糊推理系统（adaptive neuro-fuzzy inference system，ANFIS）和支持向量机回归（support vector machine for regression，SVR）组成的组合时间序列预测模型，用于估算金属氧化物避雷器（metal oxide surge arrester，MOSA）的使用寿命。首先，文中进行了现场测量 ...
刘伟
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