Evaluation and improvement of methods for estimating sea surface wave parameters from X-band marine radar data [PDF]
In this thesis, several algorithms have been proposed for estimating ocean wave parameters from X-band marine radar data, i.e., wave direction, wave period, and significant wave height.
Yang, Zhiding
core
基于MEEMD和SVM的贯通式同相牵引直接供电系统牵引网故障识别
针对贯通式同向牵引直接供电系统牵引网故障识别,提出了一种基于改进总体平均经验模态分解和支持向量机的故障识别方法。利用PSCAD仿真平台搭建3种不同类型(雷击故障,雷击干扰,接地故障)的故障模型,通过模拟仿真得到故障暂态电流,并对其解耦得到故障电流相模分量。采用MEEMD算法对故障电流相模分量进行分解,提取特征向量,通过SVM工具箱进行故障识别。为了验证SVM在故障识别中的优越性,通过对比概率神经网络故障识别,结果表明SVM在故障识别中具有更高的正确率。
庄启康 +4 more
doaj
A harmonic current detection method based on improved HHT
To resolve the endpoint effects and mode mixing (MM) that arise during harmonic current detection using Hilbert-Huang Transform (HHT), an improved harmonic current detection method based on HHT is proposed.
ZHANG Weisheng +6 more
doaj +1 more source
This paper reviews key signal processing techniques in structural health monitoring (SHM), focusing on non-parametric time–frequency analysis, adaptive decomposition, and deconvolution methods. It examines the short-time Fourier transform (STFT), wavelet
Yixin Zhou, Zepeng Ma, Lei Fu
doaj +1 more source
Application of MEEMD-ARIMA combining model for annual runoff prediction in the Lower Yellow River
Abstract The prediction of annual runoff in the Lower Yellow River can provide an important theoretical basis for effective reservoir management, flood control and disaster reduction, river and beach management, rational utilization of regional water and sediment resources.
Xianqi Zhang, Wei Tuo, Chao Song
openaire +1 more source
Stereoscopic PIV measurements and proper orthogonal decomposition of a supersonic axisymmetric base flow [PDF]
The supersonic flow separating past a cylindrical afterbody generates a complex, compressible and highly turbulent flowfield. This flow models several realistic applications, such as the wake region behind projectiles, bullets and unpowered rockets.
Favale, James V
core
Hyperbolicity and Recurrence in Dynamical Systems: A Survey of Recent ResuIts [PDF]
We discuss selected topics of current research interest in the theory of dynamical systems, with emphasis on dimension theory, multifractal analysis, and quantitative ...
Barreira, Luis
core +2 more sources
Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network [PDF]
With the expansion of power grid scale and the increase of power components, the maintenance methods of power system become more and more complex. It is difficult to evaluate the low-frequency oscillation risk of power grid under massive maintenance only
DU Xiaoyong +8 more
core +1 more source
Remove glasses diffusion model an innovative conditioned of eye glasses removal with image diffusion model [PDF]
The presence of eyeglasses in facial images poses challenges for image processing, particularly in facial recognition. This paper introduces the remove glasses diffusion model (RGDM), a conditioned denoising diffusion probabilistic model (DDPM) designed ...
Lenni, Lenni +4 more
core +2 more sources
FPGA based real-time implementation of Bivariate Empirical Mode Decomposition [PDF]
A field programmable gate array (FPGA)-based parallel architecture for the real-time and online implementation of the bivariate extension of the empirical mode decomposition (EMD) algorithm is presented.
C Park +22 more
core +1 more source

