Results 31 to 40 of about 16,203 (295)

A Novel Method of Pure Output Modal Identification Based on Multivariate Variational Mode Decomposition

Structural Control and Health Monitoring
This paper proposes a novel parameterized frequency‐domain modal parameter identification method, called direct modal variational mode decomposition (DMVMD), based on the multivariate variational mode decomposition (MVMD) framework and the principle of modal superposition. Under the constraint of normalized mode shapes, this paper theoretically derives
Tao Li, Rui Hou, Kangkang Zheng, Lingfeng Li, Bo Liu   +4 more
openaire   +2 more sources

Advances and applications of empirical mode decomposition and its variants in hydrology: A review [PDF]

Guan'gai paishui xuebao
Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics.
CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong   +5 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

Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia [PDF]

Mathematics
Sea level rise (SLR) attributed to the melting of ice caps and thermal expansion of seawater is of great global significance to vast populations of people residing along the world’s coastlines.
Nawin Raj, Jaishukh Murali, Lila Singh-Peterson, Nathan Downs   +3 more
doaj   +3 more sources

A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms. [PDF]

Sensors (Basel)
Field verification of contact-type ultrasonic sensors enables rapid evaluation of their sensitivity performance, thereby ensuring the accuracy of partial discharge (PD) ultrasonic monitoring results.
Cao T, Cui Y, Tan H, Lu W, Zhang F, Liu K, Chen X, Chen Y, Wang L.   +8 more
europepmc   +2 more sources

Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm

Scientific Reports, 2023
A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
doaj   +1 more source

Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis

IEEE Access, 2021
Multi-channel signal has more abundant and accurate state characteristic information than single channel signal. How to separate fault characteristic information from the multi-channel signal is the key of fault diagnosis.
Haiyang Pan, Wanwan Jiang, Qingyun Liu, Jinde Zheng   +3 more
doaj   +1 more source

Multivariate Swarm Decomposition [PDF]

, 2023
Adaptive signal decomposition methods are widespread in the field of nonstationary signal analysis. One such method is the Swarm Decomposition (SwD), which relies on the collective dynamics of a virtual swarm-prey model, in order to analyze a given ...
Georgios Apostolidis (16622763), Charilaos Zisou (16622769), Leontios Hadjileontiadis (14201334)   +2 more
core   +1 more source

Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm [PDF]

, 2022
Full spectrum and holospectrum are homogenous information fusion technology developed for the fault diagnosis of rotating machinery, which is extensively exploited in the analysis of the orbits of rotor-bearing systems.
Li, Chaoshun, Cui, Xiaolong, Huang, Jie, Zhao, Yujie   +3 more
core   +2 more sources

Hyperparameter optimization of support vector machine using adaptive differential evolution for electricity load forecasting

Energy Reports, 2022
Peak load forecasting plays an integral part in the planning and operating of energy plants for the utility companies and policymakers to devise reliable and stable power infrastructure.
M. Zulfiqar, M. Kamran, M.B. Rasheed, T. Alquthami, A.H. Milyani   +4 more
doaj   +1 more source