Results 41 to 50 of about 10,183 (167)

The Reduced-Order Hybrid Monte Carlo Sampling Smoother

, 2016
Hybrid Monte-Carlo (HMC) sampling smoother is a fully non-Gaussian four-dimensional data assimilation algorithm that works by directly sampling the posterior distribution formulated in the Bayesian framework.
Attia, Ahmed, Sandu, Adrian, Stefanescu, Razvan   +2 more
core   +1 more source

Fault Prediction Method of Boost Converter Based on Multi-Modal Components and Temporal Convolutional Networks

Energies
During long-term operation, power electronic converters are jointly affected by component degradation and operational disturbances, leading to pronounced nonstationary and multi-scale characteristics in output-voltage signals, which pose challenges for ...
Jiaying Li, Chengye Zhu, Yuhang Dong, Min Xia   +3 more
doaj   +1 more source

Using the Features Extracted From the Ambient Noise Cross-Correlation Function to Evaluate the Performance of Broadband Seismograph

IEEE Access, 2022
Broadband seismographs are used to collect seismic data over an extended period. Temperature, pressure, and humidity are field variables that can have an impact on the broadband seismograph’s performance as well as the accuracy of observational ...
Xue Bao, Fang Ye, Han Zhang, Chunwei Jin
doaj   +1 more source

Mechanical Fault Diagnosis Method of a Disconnector Based on Improved Dung Beetle Optimizer–Multivariate Variational Mode Decomposition and Convolutional Neural Network–Bidirectional Long Short-Term Memory

Machines
As one of the main faults of a disconnector, a mechanical fault is difficult to diagnose in time because of its weak self-evidence, its wide range of fault categories, and the difficulty in obtaining fault sample data.
Chi Zhang, Hongzhong Ma, Wei Sun
doaj   +1 more source

Stochastic variational inference for large-scale discrete choice models using adaptive batch sizes

, 2015
Discrete choice models describe the choices made by decision makers among alternatives and play an important role in transportation planning, marketing research and other applications. The mixed multinomial logit (MMNL) model is a popular discrete choice
Tan, Linda S. L.
core   +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

Data-adaptive harmonic spectra and multilayer Stuart-Landau models

, 2017
Harmonic decompositions of multivariate time series are considered for which we adopt an integral operator approach with periodic semigroup kernels. Spectral decomposition theorems are derived that cover the important cases of two-time statistics drawn ...
Autonne L., Brézis H., Brézis H., Chekroun M. D., Chekroun M. D., Collet P., Da Prato G., Da Prato G., Dmitri Kondrashov, Drmac Z., Embry M., Engel K.-J., Jolliffe I., Kondrashov D., Lax P., Lorenz E., Mickaël D. Chekroun, Pazy A., Van Neerven J., Vogel C. R., Weinberger H., Zhou J. T.   +21 more
core   +1 more source

Tensor decompositions for learning latent variable models [PDF]

, 2014
This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable models---including Gaussian mixture models, hidden Markov models, and latent Dirichlet allocation---which exploits a certain
Anandkumar, Anima, Ge, Rong, Hsu, Daniel, Kakade, Sham M., Telgarsky, Matus   +4 more
core   +5 more sources

Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation

Alexandria Engineering Journal
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation (SR) estimates are therefore needed in solar energy applications.
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi   +6 more
doaj   +1 more source

Mine cable partial discharge denoising method based on multivariate variational mode decomposition and improved wavelet threshold

Meitan xuebao
The insulation state of the mine cable plays an important role in the stable operation of the mine power supply system. Partial discharge on-line monitoring is an important means of cable insulation state monitoring.
Jiyuan CAO, Yanwen WANG, Peng CHEN, Xuan ZHOU, Weixiong ZHU, Yihe ZHANG, Le WANG   +6 more
doaj   +1 more source