Results 71 to 80 of about 12,423 (168)
High-Precision Fault Diagnosis Method for Energy Storage Inverter Signals [PDF]
Owing to the global trends of energy transition and carbon neutrality, ensuring the stability of energy storage inverters as key components is crucial.
Yu WANG, Qi QI, Chun WANG, Cai XU
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Gaoya dianqi针对非平稳变压器油中溶解气体序列既有长期趋势又有短期细微波动的复杂特性，文中将黄金正弦算法（GSA）优化的麻雀搜索算法（SSA）与变分模态分解（VMD）组合构成GSSA-VMD模型；对原始变压器油中溶解气体序列使用GSSA-VMD分解，最终得到一组平稳的模态分量；其次，为了精准预测变压器气体序列长期趋势和短期波动，文中将时序卷积网络（TCN）与长短期记忆网络（LSTM）组合起来，并与GSSA-VMD组合构成变压器油中溶解气体含量组合预测模型；最后，文中选用变压器油中溶解气体CO2进行实验验证，与VMD ...
代浩 +6 more
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Unsupervised Specific Emitter Identification Method Based on Directed Graph Connectivity [PDF]
Specific emitter identification （SEI） refers to the technique of distinguishing emitters by utilizing unique and subtle features in received electromagnetic signals.
DING Guoru +4 more
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Research on Fault Diagnosis Method of Photovoltaic Arrays Based on Improved Grey Wolf Algorithm Optimized Extreme Learning Machine [PDF]
ObjectivesPhotovoltaic arrays operating under complex outdoor conditions encounter various fault types with varying degrees of severity. To accurately assess the working status of photovoltaic arrays, a fault diagnosis method based on an improved grey ...
HAN Maolin +4 more
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Efficient Seismic Denoising Transformer with Gradient Prediction and Parameter-Free Attention [PDF]
Suppression of random noise can effectively improve the signal-to-noise ratio (SNR) of seismic data. In recent years, convolutional neural network (CNN)-based deep learning methods have shown significant performance in seismic data denoising.
GAO Lei, QIAO Haowei, LIANG Dongsheng, MIN Fan, YANG Mei
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, 2020 针对齿轮箱的滚动轴承故障信号因噪声干扰，难以进行有效提取的问题，提出了基于变分模态分解与快速谱峭图相结合的轴承故障特征提取方法。首先，利用变分模态分解（Variational Mode Decomposition，VMD）将振动信号分解成若干个本征模态分量（Intrinsic Mode Function，IMF），通过相关峭度计算选取故障信息最突出的分量信号；然后，利用快速谱峭图自适应地确定带通滤波；最后，对滤波后的信号进行平方包络谱分析，提取出故障信息。通过公开数据分析和齿轮箱轴承故障实验 ...
康建设, 池阔, 迭旭鹏
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Gaoya dianqiGIS设备振动信号的变化可以反映设备内部的机械状态。为了提高GIS设备振动信号特性的预测精度，文中提出了一种基于分解—预测—重构的组合组测模型。首先，基于GIS历史振动信号，通过傅里叶变换在频域提取振动特征参数；其次，为了尽可能消除振动特征参数序列非平稳特性带来的影响，将归一化后的序列使用经过粒子群算法（PSO）优化后的变分模态分解（VMD）对振动特征参数序列进行分解；最后，将分解得到的一组平稳化模态分量使用时间卷积网络（TCN）进行预测。实验结果表明，文中所提基于PSO-VMD ...
王谦 +6 more
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Multirotor UAV-borne Vital Signs Sensing Using 4D Imaging Radar [PDF]
Unmanned Aerial Vehicle (UAV)-borne radar technology can solve the problems associated with noncontact vital sign sensing, such as limited detection range, slow moving speed, and difficult access to certain areas.
Chengyao TANG +3 more
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野生动物学报, 2023 为了解全球海蛇（Hydrophiinae）的地理分布格局对陆上温度的响应，进一步研究其生存环境与分布丰度模式的关系。从GBIF网站收集全球71种海蛇地理分布信息，划分全球海蛇的高中低丰度区，并划分海蛇的“广布种”和“特有种”，用GIS技术建立物种丰富度模式，获取气候变量数据，对分布丰度和陆上温度生态位宽度进行统计分析。结果显示：有8个区域可被定义为“高丰度区”，22种海蛇可被定义为“广布种”。在高丰度区，部分海蛇加宽陆上温度生态位，部分则收窄生态位；1个物种的局部陆上温度生态位存在地理变异 ...
王湘君 +4 more
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, 2020 变分模态分解（VMD）广泛应用于故障诊断中，从振动信号中提取故障特征是故障诊断过程中的关键部分。针对强背景噪声和脉冲干扰下滚动轴承早期故障特征难以提取的问题，提出了一种新的基于果蝇优化算法（FOA）的变分模态分解的轴承故障诊断方法。首先，利用果蝇优化算法自适应优化VMD的惩罚参数α和分解数K，获取最优参数组合；然后，对信号进行VMD分解，得到K个模态分量；最后，基于峭度最大化准则选取最优模态分量进行包络解调分析，提取出故障特征频率。通过仿真信号分析 ...
刘畅, 杨建伟, 王衍学
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