Recent advances in researches on vehicle scanning method for bridges
The vehicle scanning method (VSM), an indirect approach for bridge measurement, has
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles
In 2004, Yang and co-workers proposed the extraction of bridge frequencies from the
dynamic response of a moving test vehicle [YB Yang, CW Lin and JD Yau, Extracting bridge …
dynamic response of a moving test vehicle [YB Yang, CW Lin and JD Yau, Extracting bridge …
基于变分模态分解和模糊C 均值聚类的滚动轴承故障诊断
刘长良， 武英杰， 甄成刚 - 中国电机工程学报, 2015 - cqvip.com
为了精准, 稳定地提取滚动轴承故障特征, 提出了基于变分模态分解和奇异值分解的特征提取
方法, 采用标准模糊C 均值聚类(fuzzy C means clustering, FCM) 进行故障识别 …
方法, 采用标准模糊C 均值聚类(fuzzy C means clustering, FCM) 进行故障识别 …
AE waveform characteristics of rock mass under uniaxial loading based on Hilbert-Huang transform
X Li, S Chen, S Liu, Z Li - Journal of Central South University, 2021 - Springer
Acoustic Emission (AE) waveforms contain information on microscopic structural features
that can be related with damage of coal rock masses. In this paper, the Hilbert-Huang …
that can be related with damage of coal rock masses. In this paper, the Hilbert-Huang …
Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods
Significant fluctuations in the price of crude oil in recent years make accurate price
estimations of critical importance. A reliable method for crude oil price forecasting is …
estimations of critical importance. A reliable method for crude oil price forecasting is …
PM2. 5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition
G Huang, X Li, B Zhang, J Ren - Science of the Total Environment, 2021 - Elsevier
The main component of haze is the particulate matter (PM) 2.5. How to explore the laws of
PM2. 5 concentration changes is the main content of air quality prediction. Combining the …
PM2. 5 concentration changes is the main content of air quality prediction. Combining the …
[PDF][PDF] 基于经验模态分解和深度卷积神经网络的行星齿轮箱故障诊断方法
胡茑庆， 陈徽鹏， 程哲， 张伦， 张宇 - 机械工程学报, 2019 - qikan.cmes.org
行星齿轮箱振动信号具有非平稳特性, 需要一定的先验知识和诊断专业知识设计和解释特征从而
实现故障诊断. 为了实现行星齿轮箱的智能诊断, 提出一种基于经验模态分解(Empirical mode …
实现故障诊断. 为了实现行星齿轮箱的智能诊断, 提出一种基于经验模态分解(Empirical mode …
New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms
Abstract Algorithms based on Empirical Mode Decomposition (EMD) and Iterative Filtering
(IF) are largely implemented for representing a signal as superposition of simpler well …
(IF) are largely implemented for representing a signal as superposition of simpler well …
Bearing health monitoring based on Hilbert–Huang transform, support vector machine, and regression
A Soualhi, K Medjaher… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The detection, diagnostic, and prognostic of bearing degradation play a key role in
increasing the reliability and safety of electrical machines, especially in key industrial …
increasing the reliability and safety of electrical machines, especially in key industrial …
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network
Y Liu, C Yang, K Huang, W Gui - Knowledge-Based Systems, 2020 - Elsevier
Non-ferrous metals are indispensable industrial materials and strategic supports of national
economic development. The price forecasting of non-ferrous metals is critical for investors …
economic development. The price forecasting of non-ferrous metals is critical for investors …