Results 91 to 100 of about 10,420 (169)
Fault diagnosis of marine electric thruster gearbox based on MPDCNN under strong noisy environments [PDF]
ObjectivesTo address the performance degradation in fault diagnosis of rotating machinery caused by noise interference in practical applications, a novel fault diagnosis approach based on Mel-frequency cepstral coefficients (MFCC) and a parallel dual ...
Qianming SHANG +4 more
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Gaoya dianqi为了提高油中溶解气体体积分数的预测精度，进而为变压器早期故障预警和制定维修方案提供理论依据，提出了一种基于多分解策略和贝叶斯优化—长短期记忆神经网络的预测模型。首先，采用改进的完全自适应噪声集合经验模态分解对原始油中溶解气体时间序列进行一次分解，得到一系列不同时间尺度下的子序列分量；其次，利用变分模态分解对预测难度最高的高频IMF1分量进行二次分解，进一步降低IMF1分量的非线性和非平稳性；然后采用贝叶斯优化的长短期记忆神经网络对二次分解后得到的所有子序列分量进行时序建模，并进行单步预测和递归多步预测 ...
陈志勇, 杜江
doaj
A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios [PDF]
Due to their many advantages, such as simple structure, low transmission power, strong penetration capability, high resolution, and high transmission speed, UWB (Ultra-WideBand) radars have been widely used for detecting life information in various ...
Bo ZHOU +6 more
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基于改进无参尺度空间经验小波变换的变压器高频电流局放噪声抑制研究
Gaoya dianqi变压器是电力系统中的关键设备，局部放电（PD）是致使变压器绝缘劣化的主要原因，也是绝缘劣化的重要表现形式。针对高频PD信号中复杂的噪声信息，提出一种基于互信息和峭度优化的改进无参经验小波变换的降噪方法。该方法以经验小波变换（EWT）分解为基础，构造高斯核函数平滑频谱生成尺度空间，利用k-means聚类对边界点进行筛选得到频带分界点，然后提取无参尺度空间EWT分解的模式分量的互信息值和峭度值进行合并优化，排除冗余的频谱划分点并对频谱重新分割，利用新的频谱边界进行划分得到有价值的分量 ...
唐志国, 李阳
doaj
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
doaj +1 more source
Research review on life-cycle health management and intelligent maintenance of coal mining equipment [PDF]
In recent years, with the rapid development of intelligent technology in coal mines, the whole life cycle health management and intelligent maintenance technology of coal mine equipment has attracted wide attention.
Fuyuan ZHAO +10 more
core +1 more source
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
core
Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm [PDF]
ObjectivesIn order to ensure the safety, stability, and economic operation of the power system after photovoltaic integration, a photovoltaic power prediction model based on improved long short-term memory (LSTM) network using white shark optimization ...
LI Lanqing +5 more
core +1 more source
Accelerated random noise suppression of seismic data using compressed singular-value decomposition [PDF]
Random noise is one of the common background noises in seismic data, and its attenuation will directly affect the signal-to-noise ratio of seismic data, which is of great significance to improve the quality of seismic data.
LIN Peng +4 more
core +1 more source
, 2013 非平稳时间序列预测问题一直都是一个难题,文章运用EMd技术将非平稳时间序列分解为一系列的IMf和一个残余量。由聚类分析得到若干个CIMf,然后通过对每个CIMf以及残余量建立神经网络模型进行预测,达到对原时间序列的组合预测。文章的实证结果表明EMd组合预测可以有效解决非平稳的问题,且预测精度达到良好效果。国家社科基金资助项目 ...
张楠溪, 朱万闯, 朱建平
core