Gaoya dianqi, 2018 电力变压器绕组故障诊断是保证电力变压器安全运行的关键技术。文中通过建立变压器有限元模型和高频等值电路模型,提出了基于"结构参数—电气参数—试验结果"诊断思路的变压器绕组故障诊断方法,可以有效提高电力变压器绕组故障诊断的可靠性。文中基于Ansoft Maxwell仿真平台建立变压器三维有限元模型,计算了变压器主要电气参数（对地电容、饼间电容等）,分析了不同故障类型及故障程度下电气参数的变化。运用求解的电气参数搭建了高频等值电路模型,并由高频等值电路模型仿真对应试验结果。文中以轴向位移故障为例 ...
鲁非 +5 more
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Dianci bileiqi, 2018 雷电感应过电压导致的10 k V配电线路跳闸事故十分频繁,需要合理计算线路雷电感应跳闸率并采取针对性防护措施。利用EMTP中的MODEL模块编程计算线路雷电感应过电压,建立线路模型考虑线路闪络跳闸情况,利用区间统计法求取配电线路雷电感应跳闸率,分析线路工频电压对感应跳闸率的影响,最后讨论安装避雷器的防护效果。分析结果表明:配电线路三相感应过电压波形较为类似,过电压幅值相差不大;雷击点距离线路越近,感应过电压可能引发的线路跳闸次数越多;线路工作电压对雷电感应跳闸率的影响很小,基本可以忽略 ...
桂前进 +6 more
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[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiZhou T, Yu P, Xu Y.
europepmc +1 more source
[Bayesian network analysis of harsh parenting, experiential avoidance, and adolescent short video addiction risk]. [PDF]
Zhongguo Dang Dai Er Ke Za ZhiLyu LH +5 more
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Zhendong Ceshi yu Zhenduan为了研究地铁车轮多边形对车体低频振动的影响，首先，调研了某地铁线路车轮多边形磨耗情况，在掌握地铁线路车轮多边形分布特征的基础之上，建立了考虑车轮多边形的弹性车体垂向动力学模型；其次，基于时域积分求解方法，研究了车轮多边形激励频率与车体低频振动的关系；最后，通过对比不同阶次的车轮多边形对车体低频振动的结果，讨论了服役条件下地铁车辆运行速度及车轮磨耗半径的变化对车轮多边形作用车体的影响规律。结果表明：1~3阶次的车轮多边形产生0~20 Hz的低频激励频率，当激励频率接近于车体1阶垂弯频率10.2 ...
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[A high temporal resolution dynamic T<sub>2</sub>*W imaging study based on step oxygen stimulation of rat kidneys]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoSun S, Tao Q, Zhao K, Hu Q, Feng Y.
europepmc +1 more source
[Research on hybrid brain-computer interface based on imperceptible visual and auditory stimulation responses]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiPang Z +7 more
europepmc +1 more source
[Evaluation method and system for aging effects of autonomic nervous system based on cross-wavelet transform cardiopulmonary coupling]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiLyu J, Wang Y, Shi W, Tao P, Ye J.
europepmc +1 more source
[Development and electrophysiological validation of a temporal interference transcranial magnetic stimulation system for mice]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiCui C, Wang T, Zhang Y, Zheng W, Xu G.
europepmc +1 more source
[Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiLi A +5 more
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