Wind Turbine Rolling Bearing Fault Diagnosis Using t-SNE and GWO-SVM

Authors: Wang, Zhenya, Yao, Ligang, Ding, Jiaxin, Zhang, Jun

Source: 2020 7th International Conference on Information Science and Control Engineering (ICISCE) ICISCE Information Science and Control Engineering (ICISCE), 2020 7th International Conference on. :2274-2279 Dec, 2020

Relation: 2020 7th International Conference on Information Science and Control Engineering (ICISCE)

Weighted multivariate composite multiscale sample entropy analysis for the complexity of nonlinear times series

Authors: Zhang, Ningning ^a, Lin, Aijing ^{a, ⁎}, Ma, Hui ^b, Shang, Pengjian ^a, Yang, Pengbo ^a

Source: In Physica A: Statistical Mechanics and its Applications 15 October 2018 508:595-607

Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine

Authors: Wang, Zhenya, Yao, Ligang ^⁎, Cai, Yongwu

Source: In Measurement May 2020 156

Entropy Applications in Environmental and Water Engineering

Authors: Cui, Huijuan, Sivakumar, Bellie, Singh, Vijay P.

Subject Terms: TA1-2040, T1-995, TA170-171, hydrological risk analysis, modeling, water level, Poyang Lake basin, trend, composite multiscale sample entropy, flood frequency analysis, canopy flow, precipitation, water resources, complex systems, frequency analysis, optimization, combined forecast, neural network forecast, entropy spectral analysis time series analysis, environmental engineering, hydrometric network, sea surface temperature, kernel density estimation, robustness, turbulent flow, entropy production, connection entropy, flux concentration relation, turbulence, tropical rainfall, generalized gamma (GG) distribution, multi-events, El Niño, joint entropy, entropy weighting method, Anhui Province, changing environment, complexity, multiplicative cascades, Tsallis entropy, Hexi corridor, coherent structures, water resources vulnerability, uncertainty, variability, flow entropy, Hei River basin, fuzzy analytic hierarchy process, substitute, crop yield, conditional entropy production, entropy, flow duration curve, mean annual runoff, temperature, hydrometeorological extremes, resilience, Loess Plateau, information entropy, scaling, water distribution networks, cross entropy, randomness, forewarning model, entropy applications, quaternary catchment, spatio-temporal variability, probability distribution function, ant colony fuzzy clustering, radar, continuous probability distribution functions, Shannon entropy, informational entropy, information, confidence intervals, marginal entropy, rainfall forecast, entropy of information, streamflow, power laws, bootstrap aggregating, maximum entropy-copula method, spatial and dynamics characteristic, projection pursuit, set pair analysis, entropy theory, water resource carrying capacity, entropy parameter, precipitation frequency analysis, principle of maximum entropy, information theory, stochastic processes, network design, complement, cross elasticity, climacogram, methods of moments, hydrology, bagging, principle of maximum entropy (POME), rainfall network, entropy ensemble filter, ensemble model simulation criterion, Lagrangian function, Beta-Lognormal model, cross-entropy minimization, ANN, configurational entropy, variation of information, statistical scaling, EEF method, water monitoring, maximum likelihood estimation, GB2 distribution, NDVI, four-parameter exponential gamma distribution, hydraulics, spatial optimization, Kolmogorov complexity, bootstrap neural networks, mutual information, accelerating genetic algorithm, groundwater depth, rainfall, tropical Pacific, water engineering, monthly streamflow forecasting, ENSO, nonlinear relation, Bayesian technique, non-point source pollution, Burg entropy, data-scarce, scaling laws, soil water content, arid region, land suitability evaluation, information transfer, History of engineering and technology

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Access URL: https://directory.doabooks.org/handle/20.500.12854/46556
https://mdpi.com/books/pdfview/book/1160

A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction

Authors: Jianpeng Ma, Song Han, Chengwei Li, Liwei Zhan, Guang-zhu Zhang

Source: Entropy, Vol 23, Iss 451, p 451 (2021)

Subject Terms: rolling bearing, fault diagnosis, signal denoising, intrinsic time-scale decomposition, coyote optimization algorithm, generalized refined composite multiscale sample entropy, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/23/4/451; https://doaj.org/toc/1099-4300; https://doaj.org/article/a110ac3db3bf49d786bd6142af842662

Availability: https://doi.org/10.3390/e23040451
https://doaj.org/article/a110ac3db3bf49d786bd6142af842662

Investigation into Multi-Temporal Scale Complexity of Streamflows and Water Levels in the Poyang Lake Basin, China

Authors: Feng Huang, Xunzhou Chunyu, Yuankun Wang, Yao Wu, Bao Qian, Lidan Guo, Dayong Zhao, Ziqiang Xia

Source: Entropy, Vol 19, Iss 2, p 67 (2017)

Subject Terms: complexity, streamflow, water level, composite multiscale sample entropy, trend, Poyang Lake basin, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: http://www.mdpi.com/1099-4300/19/2/67; https://doaj.org/toc/1099-4300; https://doaj.org/article/8eec53e26b614acda5715a29fa160b56

Availability: https://doi.org/10.3390/e19020067
https://doaj.org/article/8eec53e26b614acda5715a29fa160b56

Entropy Applications in Environmental and Water Engineering

Authors: Cui, Huijuan, Sivakumar, Bellie, Singh, Vijay P.

Subject Terms: TA1-2040, T1-995, TA170-171, hydrological risk analysis, modeling, water level, Poyang Lake basin, trend, composite multiscale sample entropy, flood frequency analysis, canopy flow, precipitation, water resources, complex systems, frequency analysis, optimization, combined forecast, neural network forecast, entropy spectral analysis time series analysis, environmental engineering, hydrometric network, sea surface temperature, kernel density estimation, robustness, turbulent flow, entropy production, connection entropy, flux concentration relation, turbulence, tropical rainfall

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Relation: 32592; https://mdpi.com/books/pdfview/book/1160

Availability: https://directory.doabooks.org/handle/20.500.12854/46556
https://hdl.handle.net/20.500.12854/46556
https://mdpi.com/books/pdfview/book/1160

Entropy Applications in Environmental and Water Engineering

Authors: Vijay P. Singh, Huijuan Cui, Bellie Sivakumar

Source: Entropy (Basel)
Entropy, Vol 20, Iss 8, p 598 (2018)

Subject Terms: variation of information, monthly streamflow forecasting, probability distribution function, informational entropy, hydrology, accelerating genetic algorithm, robustness, spatio-temporal variability, 02 engineering and technology, 01 natural sciences, flux concentration relation, Bayesian technique, groundwater depth, cross entropy, information theory, hydrometeorological extremes, Physics, composite multiscale sample entropy, Beta-Lognormal model, Ingeniería ambiental y hidráulica, trend, Editorial, substitute, Lagrangian function, forewarning model, data-scarce, stochastic processes, entropy spectral analysis time series analysis, entropy weighting method, streamflow, TA1-2040, Tsallis entropy, rainfall forecast, ANN, water engineering, climacogram, Science, QC1-999, frequency analysis, water resource carrying capacity, water resources, entropy production, entropy ensemble filter, entropy parameter, methods of moments, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, information transfer, water resources vulnerability, El Niño, resilience, configurational entropy, environmental engineering, non-point source pollution, multi-events, variability, turbulence, Burg entropy, modeling, set pair analysis, TA170-171, bagging, bootstrap neural networks, ingeniería ambiental, Loess Plateau, water distribution networks, ant colony fuzzy clustering, entropy, statistical scaling, generalized gamma (GG) distribution, mean annual runoff, GB2 distribution, Anhui Province, ensemble model simulation criterion, Kolmogorov complexity, Astrophysics, information, canopy flow, four-parameter exponential gamma distribution, tropical Pacific, sea surface temperature, fuzzy analytic hierarchy process, scaling laws, hydrometric network, 0202 electrical engineering, electronic engineering, information engineering, neural network forecast, complement, uncertainty, mutual information, power laws, confidence intervals, changing environment, marginal entropy, principle of maximum entropy (POME), turbulent flow, spatial and dynamics characteristic, precipitation frequency analysis, Poyang Lake basin, Hexi corridor, scaling, water level, Hei River basin, Shannon entropy, spatial optimization, cross-entropy minimization, QB460-466, water monitoring, arid region, connection entropy, kernel density estimation, EEF method, ENSO, optimization, continuous probability distribution functions, cross elasticity, entropy applications, combined forecast, NDVI, coherent structures, hydraulics, rainfall, hydrological risk analysis, network design, randomness, maximum likelihood estimation, flow duration curve, precipitation, flow entropy, principle of maximum entropy, multiplicative cascades, bootstrap aggregating, projection pursuit, 0103 physical sciences, T1-995, entropy of information, complex systems, flood frequency analysis, joint entropy, land suitability evaluation, rainfall network, Tecnología, temperature, information entropy, soil water content, crop yield, entropy theory, tropical rainfall, maximum entropy-copula method, quaternary catchment, conditional entropy production, nonlinear relation, complexity, radar

File Description: image/jpeg; 514 páginas; application/pdf

Access URL: https://openresearchlibrary.org/ext/api/media/8c1e3f2d-458e-42d5-a74f-075e5d0d0252/assets/external_content.pdf
https://pubmed.ncbi.nlm.nih.gov/33265687
https://directory.doabooks.org/handle/20.500.12854/46556
https://mdpi.com/books/pdfview/book/1160
https://doaj.org/article/16d12a3973f24b40a3c232849eb50e1f
https://www.mdpi.com/1099-4300/20/8/598
https://www.ncbi.nlm.nih.gov/pubmed/33265687
https://pubmed.ncbi.nlm.nih.gov/33265687/
https://www.mdpi.com/1099-4300/20/8/598/pdf
https://dblp.uni-trier.de/db/journals/entropy/entropy20.html#CuiSS18
http://ui.adsabs.harvard.edu/abs/2018Entrp..20..598C/abstract