Results 81 to 90 of about 12,423 (168)
The proposed method introduces a parameter determination approach based on the minimum Fractal box dimension (FBD) of Variational Mode Decomposition (VMD) components, aiming to address the issue of manual determination of VMD decomposition layers in ...
Min, Yu, Yan, Yu, Yuhang, Pei
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Multi-target vital sign estimation based on sparse representation under complex scenes [PDF]
Focusing on the issue that millimeter-wave radar was difficult to accurately estimate the vital signs of multiple moving targets in complex indoor scenes, a multi-target vital sign estimation method based on sparse representation under complex scenes was
HUANG Zifeng, MA Jiakang, WANG Hongyan
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Zhendong Ceshi yu Zhenduan为解决变分模态分解（variational mode decomposition，简称VMD）在噪声情况下提取风电机组故障特征时因参数设置的人为经验不足而带来的误差问题及耗费时间的问题，提出一种基于自适应变分模态分解（adaptive variational mode decomposition，简称AVMD）算法的风电机组故障诊断方法。首先，将包络熵‑峭度‑互信息准则（envelope entropy，kurtosis and mutual information，简称EKM）作为黏菌算法（slime
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A ISAR Imaging Method for Space Targets Based on Fast Estimation of Joint Motion Parameters [PDF]
Inverse Synthetic Aperture Radar (ISAR) is an important tool for imaging and monitoring space targets. The large rotation angle of space targets can exacerbate the phenomenon of Migration Through Resolution Cells (MTRC), seriously affecting the ISAR ...
Chenyu LIU +5 more
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基于用最小二乘法改进的EMD与能量熵融合的断路器机械故障诊断方法
Gaoya dianqi, 2014 笔者针对经验模态分解（EMD）分解结果的准确性对实验结果的影响,利用最小二乘法对EMD进行改进,有效地缓解了EMD固有的端点效应对实验结果的影响。分别对断路器操动机构的正常振动信号和连接臂松动信号进行EMD和小波变换分解,并将能量熵分别应用到改进EMD与小波变换中。通过能量熵值计算分析表明,改进的EMD能量熵值明显大于小波能量熵,因此改进的EMD与能量熵融合法为断路器机械状态识别提供了有益的帮助。
许丹, 于龙, 王玉梅
doaj
A Two-Modal Weather Classification Method and Its Application in Photovoltaic Power Probability Prediction [PDF]
Weather classification is an indispensable preprocessing step in photovoltaic (PV) power prediction. A new two-modal weather classification methods based on PV power clustering was proposed to finely depict the uncertainty of PV power output.
FU Xiaobiao +9 more
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Dianci bileiqi当架空线路遭受雷击时，故障行波中存在丰富的故障信息，从暂态分量中准确提取特征量并分类是雷击故障识别的核心。提取过程中会存在模态混叠、最优小波基问题，同时雷击距离、落雷点与短路点不一致也会影响识别效果。针对上述问题，本研究提出了一种KL散度(Kullback-Leibler divergence)改进变分模态分解(Variational Mode decomposition,VMD)的雷击故障识别方法。依据实际故障搭建了220 kV架空线路模型，模拟绕击、反击和短路场景，选取三相电压进行凯伦贝尔 ...
刘举成 +6 more
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Research Progress on the Application of Hyperspectral Technology for Non-destructive Testing of Grape Quality [PDF]
Grape production is an important part of the agricultural economy, which has economic and widespread social benefits. Monitoring and evaluation of grape berries during growth is an important guarantee for the production of high-quality grape berries ...
WEN Jing, MA Wen, ZHANG Ang, JIN Gang, XU Guoqian
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Gaoya dianqi, 2021 电力设备绝缘裂化常常伴随着局部放电,如何提高电力变压器局部放电的检测精度对于研究其绝缘状态具有重要意义。集合经验模态分解法(ensemble empirical mode decomposition,EEMD)在局部放电的去噪过程中得到良好的应用,然而对于如何准确的选取EEMD分解过程中的固有模式函数(intrinsic modefunctions,IMFs),还原局部放电真实信号是关键。针对这一问题,文中提出一种基于相关系数的EEMD电力变压器局部放电去噪方法。该方法基于两路同时采集的局部放电信号 ...
彭炜文 +5 more
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Analysis of Key Technologies and Development Prospects for Renewable Energy-Powered Water Electrolysis for Hydrogen Production Based on Artificial Intelligence [PDF]
ObjectivesAs an essential sustainable energy technology, renewable energy-powered water electrolysis for hydrogen production has attracted widespread attention due to its advantages in environmental protection and low carbon emissions.
YANG Bo, ZHANG Zijian
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