Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Luis David Avendaño Valencia"'
Autor:
Luis David Avendaño Valencia, Luis Enrique Avendaño, José María Ferrero, Germán Castellanos Domínguez
Publikováno v:
Ingeniería e Investigación, Vol 27, Iss 3, Pp 77-88 (2007)
En este artículo se presenta el desarrollo de un filtro para la reducción de la interferencia de línea de potencia en señales electrocardiográficas (ECG), basado en estimación dual de parámetros y de estado, empleando la filtración Kalman, en
Externí odkaz:
https://doaj.org/article/008a09647b9145c88d124041ecfd8f05
Autor:
Jonas Gad Kjeld, Luis David Avendaño-Valencia, Anders Brandt, Silas Sverre Christensen, Jacob Karottki Falk Andersen
Publikováno v:
Gad Kjeld, J, Avendaño-Valencia, L D, Brandt, A, Christensen, S S & Karottki Falk Andersen, J 2023, ' Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions ', Mechanical Systems and Signal Processing, vol. 191, 110180 . https://doi.org/10.1016/j.ymssp.2023.110180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9febcb034d678c2a218b78f873f51b2d
https://pure.au.dk/portal/da/publications/towards-minimal-empirical-uncertainty-bounds-of-damping-estimates-of-an-offshore-wind-turbine-in-idling-conditions(ab178980-63ec-47bd-b8d1-95877d823aa8).html
https://pure.au.dk/portal/da/publications/towards-minimal-empirical-uncertainty-bounds-of-damping-estimates-of-an-offshore-wind-turbine-in-idling-conditions(ab178980-63ec-47bd-b8d1-95877d823aa8).html
Autor:
Luis David Avendaño-Valencia, David Cuesta-Frau, Luis Enrique Avendaño, Edilson Delgado-Trejos
Publikováno v:
IFAC-PapersOnLine. 54:475-480
This work introduces a parametric modal decomposition method for multivariate non-stationary signals based on a block-diagonal time-dependent state space representation and Kalman filtering/smoothing. Each second-order block is constructed with the r
Publikováno v:
Roberts, C, Garcia Cava, D & Avendaño-Valencia, L D 2022, ' Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations ', Structural Health Monitoring . https://doi.org/10.1177/14759217221091907
A significant problem associated with the implementation of Vibration-Based Structural Health Monitoring (VSHM) systems originates from the detrimental effects caused by Environmental and Operational Variations (EOVs). The EOVs cause observations fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3100c4960525ccec8b31228ca99cb87b
https://hdl.handle.net/20.500.11820/8c001297-e418-4d7e-a3b5-87495a1636fe
https://hdl.handle.net/20.500.11820/8c001297-e418-4d7e-a3b5-87495a1636fe
Autor:
Luis Enrique Avendaño, Luis David Avendaño-Valencia, Edilson Delgado-Trejos, David Cuesta-Frau
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Mechanical Systems and Signal Processing. 187:109934
Autor:
Luis David Avendaño-Valencia, Artur Movsessian, Dmitri Tcherniak, David Garcia Cava, Callum Roberts
Publikováno v:
Structural Integrity ISBN: 9783030817152
García Cava, D, Avendaño-Valencia, L D, Movsessian, A, Roberts, C & Tcherniak, D 2022, On Explicit and Implicit Procedures to Mitigate Environmental and Operational Variabilities in Data-Driven Structural Health Monitoring . in A Cury, D Ribeiro, F Ubertini & M D Todd (eds), Structural Health Monitoring Based on Data Science Techniques . Springer, Structural Integrity, vol. 21, pp. 309-330 . https://doi.org/10.1007/978-3-030-81716-9_15
García Cava, D, Avendaño-Valencia, L D, Movsessian, A, Roberts, C & Tcherniak, D 2022, On Explicit and Implicit Procedures to Mitigate Environmental and Operational Variabilities in Data-Driven Structural Health Monitoring . in A Cury, D Ribeiro, F Ubertini & M D Todd (eds), Structural Health Monitoring Based on Data Science Techniques . Springer, Structural Integrity, vol. 21, pp. 309-330 . https://doi.org/10.1007/978-3-030-81716-9_15
Vibration-based Structural Health Monitoring (VSHM) is becoming one of the most commonly used methods for damage diagnosis and long term monitoring. In data-driven VSHM methods, Damage Sensitive Features (DSFs) extracted from vibration responses are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cdcb05772cde2d1633a486c6f44ede
https://doi.org/10.1007/978-3-030-81716-9_15
https://doi.org/10.1007/978-3-030-81716-9_15
Autor:
Esmaeil S. Nadimi, Knud Bonnet Yderstræde, Luis David Avendaño-Valencia, Tomáš Majtner, Victoria Blanes-Vidal
Publikováno v:
Journal of Diabetes Research, Vol 2019 (2019)
Blanes-Vidal, V, Majtner, T, Avendaño-Valencia, L D, Yderstræde, K B & S. Nadimi, E 2019, ' Invisible Color Variations of Facial Erythema : A Novel Early Marker for Diabetic Complications? ', Journal of Diabetes Research, vol. 2019, 4583895 . https://doi.org/10.1155/2019/4583895
Journal of Diabetes Research
Blanes-Vidal, V, Majtner, T, Avendaño-Valencia, L D, Yderstræde, K B & S. Nadimi, E 2019, ' Invisible Color Variations of Facial Erythema : A Novel Early Marker for Diabetic Complications? ', Journal of Diabetes Research, vol. 2019, 4583895 . https://doi.org/10.1155/2019/4583895
Journal of Diabetes Research
Aim. (1) To quantify the invisible variations of facial erythema that occur as the blood flows in and out of the face of diabetic patients, during the blood pulse wave using an innovative image processing method, on videos recorded with a conventiona