Results 21 to 30 of about 257 (142)

Three-point bending damage detection of GFRP composites doped with graphene oxide by acoustic emission technology [PDF]

iScience, 2023
Summary: The incorporation of graphene oxide (GO) into composite materials can modulate their overall performance. To enhance the performance of acoustic emission (AE) signals, 3% GO was incorporated into glass fiber-reinforced polymer (GFRP) composites,
Wangyong Shu, Lida Liao, Pengzhan Zhou, Bin Huang, Weike Chen   +4 more
doaj   +2 more sources

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection [PDF]

Scientific Reports
Predicting air pollution is crucial in improving air quality (AQ), which consequently provides benefits to the ecosystems and human health. AQ predictions often make use of Machine Learning (ML) approaches; nevertheless, these methods are not without ...
Iman Ahmadianfar, Zaher Mundher Yaseen, Haydar Abdulameer Marhoon, Bijay Halder, Mou Leong Tan, Huseyin Cagan Kilinc, Sani I. Abba, Salim Heddam, Leonardo Goliatt, Vahdettin Demir, Ahmed M. Al-Areeq   +10 more
doaj   +2 more sources

Forecasting of interval carbon price in China based on decomposition-reconstruction-ensemble framework [PDF]

Carbon Balance and Management
Accurate prediction of carbon prices is imperative for the effective management of carbon markets and the facilitation of a global transition to green energy.
Beibei Hu, Yunhe Cheng
doaj   +2 more sources

Motor rolling bearing fault diagnosis based on MVMD energy entropy and GWO-SVM

Journal of Vibroengineering, 2023
For motor rolling bearing fault diagnosis, vibration signal analysis is a common method to extract sensitive fault characteristics. In this paper, a newly signal processing method, multivariate variational mode decomposition (MVMD), is proposed to extract features from motor rolling bearings. The MVMD was carried out on the motor rolling bearings state
Jian Tang, Qiaoni Zhao
exaly   +2 more sources

Research on Fault Diagnosis of Gearbox with Improved Variational Mode Decomposition [PDF]

Sensors, 2018
Variational Mode Decomposition (VMD) can decompose signals into multiple intrinsic mode functions (IMFs). In recent years, VMD has been widely used in fault diagnosis.
Zhijian Wang, Junyuan Wang, Wenhua Du
doaj   +2 more sources

Continuous Small Leakage Identification Method of Urban Pipeline Based on Improved MVMD Fusion Machine Learning

Journal of Nondestructive Evaluation
Abstract To address the challenge that continuous small leakage signals are easily disrupted by noise, resulting in a low recognition rate for urban pipeline leakage, we propose an improved multivariate variational mode decomposition (IMVMD) fusion machine learning method specifically for the recognition of continuous small leakages in urban ...
Anning Wang, Yongmei Hao, Zhixiang Xing   +2 more
exaly   +2 more sources

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

Ecological Indicators, 2023
Reference evapotranspiration (ETo) is a vital climate parameter affecting plants' water use. ETo can generate large deficits in soil moisture and runoff in different regions and seasons, leading to uncertainties in drought warning systems.
Mumtaz Ali, Mehdi Jamei, Ramendra Prasad, Masoud Karbasi, Yong Xiang, Borui Cai, Shahab Abdulla, Aitazaz Ahsan Farooque, Abdulhaleem H. Labban   +8 more
doaj   +1 more source

Detecting and Diagnosing Process Nonlinearity- Induced Unit-Wide Oscillations Based on an Optimized Multivariate Variational Mode Decomposition Method

IEEE Access, 2022
In process control system, nonlinearity-induced unit-wide oscillations are a common fault, which degrades the control performance and threaten the stability.
Zhuliang Lin, Min Sun, Xialai Wu
doaj   +1 more source

Short-Term Photovoltaic Power Generation Prediction Model Based on Improved Data Decomposition and Time Convolution Network

Energies, 2023
In response to the volatility of photovoltaic power generation, this paper proposes a short-term photovoltaic power generation prediction model (HWOA-MVMD-TPA-TCN) based on a Hybrid Whale Optimization Algorithm (HWOA), multivariate variational mode ...
Ranran Cao, He Tian, Dahua Li, Mingwen Feng, Huaicong Fan   +4 more
doaj   +1 more source

Airborne Radio-Echo Sounding Data Denoising Using Particle Swarm Optimization and Multivariate Variational Mode Decomposition

Remote Sensing, 2023
Radio-echo sounding (RES) is widely used for polar ice sheet detection due to its wide coverage and high efficiency. The multivariate variational mode decomposition (MVMD) algorithm for the processing of RES data is an improvement to the variational mode
Yuhan Chen, Sixin Liu, Kun Luo, Lijuan Wang, Xueyuan Tang   +4 more
doaj   +1 more source