换流变压器运行过程中其内部绕组承受交直流电压的共同作用,导致振源振动响应非常复杂。为关注换流变压器在长期振动作用下的机械状态变化,文中首先基于换流变压器绕组振动机理及其振动特性开发了振动在线监测系统,针对现场某换流变压器的振动信号进行了长期带电监测,并提取了不同时刻下振动信号的小波能量占比,最后以小波能量占比等振动特征组成的时间序列作为数据样本,结合时间序列预测模型提出了适用于现场换流变压器的机械状态智能诊断技术。分析结果表明,振动在线监测系统在现场能够对换流变进行长期带电监测 ...
翟春雨 +4 more
doaj
[Effects and mechanism of electroacupuncture stimulation on the survival of multi-territory perforator flaps in rats]. [PDF]
Huo L, Xie JN, Tan Q.
europepmc +1 more source
[Research progress on flexible wearable sensors for health monitoring]. [PDF]
Chen X, Xu G.
europepmc +1 more source
[Research progress on paper-based microfluidic chips in pathogen detection]. [PDF]
Liu XT, Shi J, Shi M.
europepmc +1 more source
[Exosomes from folic acid-treated subpatellar fat pad-derived mesenchymal stem cells promote M2 polarization of macrophages <i>in vitro</i>]. [PDF]
Wang Z +9 more
europepmc +1 more source
[Progress in electric field assisted molecular imprinting technology]. [PDF]
Wu JY, Huang XJ.
europepmc +1 more source
[Clinical efficacy of free anterolateral thigh tissue flap transplantation with a single-vein dual-drainage system at recipient site in repairing scalp high-voltage electrical burn wounds]. [PDF]
Nie GC +9 more
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为了提高特高压换流站设备在地震中的损伤识别精度和实时性,文中提出了一种基于长短期记忆网络(LSTM)结合小波散射特征提取的设备损伤识别方法。通过有限元仿真模拟换流站设备在地震中的加速度响应,生成包含不同损伤工况的时程数据。采用小波散射技术对加速度信号进行特征提取,以减少信号噪声并保留损伤特征,再将提取后的特征输入LSTM模型进行损伤识别。结果表明,基于小波散射特征的LSTM网络相比直接使用原始加速度数据,显著提升了识别速度与精度,模型的最终识别准确率达到95 ...
李强, 宋云海, 杨洋, 张世洪
doaj
[Prefrontal dysfunction and mismatch negativity in adolescent depression: A multimodal fNIRS-ERP study]. [PDF]
Sun H +6 more
europepmc +1 more source
[Research progress on combined transcranial electromagnetic stimulation in clinical application in brain diseases]. [PDF]
Wei Y, Wang T, Wang C, Zhang Y, Xu G.
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