Publications archive

Brief publication performance overview

  • Total number of publications in peer-reviewed journals: 22
  • Total appearances as first/corresponding author: 13
  • Number of citations: 553 (google scholar) / 253 (web of science)
  • H-index: 13 (google scholar) / 8 (web of science)
Updated July 2021

1.García-Cava, L.D. Avendaño-Valencia, A. Movsessian, C. Roberts, and D. Tcherniak, “On explicit and implicit procedures to mitigate environmental and operational variabilities in data-driven structural health monitoring”, in eds. A. Cury, D. Ribeiro, F. Ubertini, and M.D. Todd, Structural Health Monitoring Based on Data Science Techniques, special collection on Structural Integrity, Springer, 2021.

2. L.D. Avendaño-Valencia, K.B. Yderstraede, E.S. Nadimi and V. Blanes-Vidal, “Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy”, Artificial Intelligence in Medicine, 114, p. 102050, 2021. Read the paper

3. L.D. Avendaño-Valencia, I. Abdallah and E.N. Chatzi, “Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression”, Renewable Energy, 170, pp. 539-561, June 2021. Read the paper 

4. L.D. Avendaño-Valencia, E.N. Chatzi and D. Tcherniak, “Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines”, Mechanical Systems and Signal Processing, 142, 106686, August 2020. Read the paper 

5. L.D. Avendaño-Valencia and E.N. Chatzi, “Multivariate GP-VAR models for Robust Structural Identification under Operational Variability”, Probabilistic Engineering Mechanics, 60, 103035, April 2020. Read the paper 

6. L.D. Avendaño-Valencia and E.N. Chatzi, “Modelling long-term vibration monitoring data with Gaussian Process time-series models”, IFAC-PapersOnLine, 52(28), pp. 26-31, January 2020. Read the paper

7. Martín-Sanz, K. Tatsis, V.K. Dertimanis, L.D. Avendaño-Valencia, E. Brühwiler and E. Chatzi, “Monitoring of the UHPFRC strengthened Chillon viaduct under environmental and operational variability”, Journal of Structure and Infrastructure Engineering, September 2019. Read the paper

8. Blanes-Vidal, T. Majtner, L.D. Avendaño-Valencia, K.B. Yderstraede, and E.S. Nadimi, “Invisible color variations of facial erythema: A novel early marker for diabetic complications?”, Journal of Diabetes Research, Article ID 4583895, September 2019. Read the paper

9. L.E. Avendaño, L.D. Avendaño-Valencia, E. Delgado-Trejos, “Diagonal time dependent state space models for modal decomposition of non–stationary signals”, Signal Processing, 147, pp. 208-223, 2018. Read the paper

10. L.D. Avendaño-Valencia, E. N. Chatzi, K.Y. Koo and J.M. Brownjohn, “Gaussian Process time-series models for structures under operational variability”, Frontiers in Built Environment, 3:69, December 2017. Read the paper

11. Antoni, J. Griffaton, H. André, L.D. Avendaño-Valencia, F. Bonnardot, O. Cardona-Morales, G. Castellanos-Dominguez, A.P. Daga, Q. Leclère, C.M. Vicuña, D.Q. Acuña, A.P. Ompusunggu, and E.F. Sierra-Alonso, “Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine”, Mechanical Systems and Signal Processing, 97, pp. 112-144, 2017. Read the paper

12. L.D. Avendaño-Valencia and S.D. Fassois, “Gaussian Mixture Random Coefficient model-based framework for SHM in structures with time–dependent dynamics under uncertainty”, Mechanical Systems and Signal Processing, 97, pp. 59-83, 2017. Read the paper

13. L.D. Avendaño-Valencia and S.D. Fassois, “Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model-based framework”, Mechanical Systems and Signal Processing, 91, pp. 326-353, 2017. Read the paper

14. L.D. Avendaño-Valencia and S.D. Fassois, “Parametric nonstationary random vibration modelling with SHM applications”, In (Eds. M. Beer, I.A. Kougioumtzoglou, E. Patelli and I.S-K. Au) Encyclopaedia of Earthquake Engineering. Springer (2014). Read the paper

15. F. Dimeas, L.D. Avendaño-Valencia and N. Aspragathos, “Human-robot collision detection and identification based on fuzzy and time series modelling”. Robotica, 33(9), pp. 1886-1898, 2015. Read the paper

16. L.D. Avendaño-Valencia and S.D. Fassois, “Stationary and Non–Stationary Random Vibration Modelling and Analysis for an Operating Wind Turbine”, Mechanical Systems and Signal Processing 47(1-2), pp. 263-285 (2014). Read the paper

17. O. Cardona-Morales, L.D. Avendaño-Valencia and G. Castellanos-Dominguez, “Nonlinear Model for Condition Monitoring of Non-stationary Vibration Signals in Ship Driveline Application”, Mechanical Systems and Signal Processing 44(1-2), pp. 134-148 (2014). Read the paper

18. J.I. Padilla-Buriticá, L.D. Avendaño-Valencia, G. Castellanos-Domínguez, “Estimación mejorada de modelos AR multivariados en el análisis de señales EEG - Improved Estimation of Multivariate AR Models for EEG Signal Processing”, Revista de Ingeniería, 38, pp.: 20-26, Junio 2013. Universidad de los Andes, Bogotá, Colombia. Read the paper

19. L.D. Avendaño-Valencia, C.D. Acosta-Medina and G. Castellanos-Domínguez, “Time-Frequency Based Feature Extraction for Non-Stationary Signal Classification”, Chapter 13: Applied Biomedical Engineering. Editors: G.D. Gargiulo, A. McEwan. INTECH, 2011. ISBN 978-953-307-256-2. Read the paper

20. L.D. Avendaño-Valencia, J.I. Godino-Llorente, M. Blanco-Velasco and G. Castellanos-Dominguez, “Feature Extraction from Parametric Time–Frequency Representations for Heart Murmur Detection”, Annals of Biomedical Engineering, 38(8), pp. 2716-2732, August 2010. Read the paper

21. C. Ospina-Aguirre, L.D. Avendaño-Valencia, E. Delgado-Trejos, G. Castellanos-Domínguez, “Metodología para evaluar el difeomorfismo de un atractor caótico usando el filtro de Kalman en señales fisiológicas”, Tecnológicas, 21, pp. 31-48, 2008, ISSN 0123-7799. Medellín, Colombia. Read the paper

22. L.D. Avendaño-Valencia, L.E. Avendaño, J.M. Ferrero and G. Castellanos-Domínguez, “Reducción de interferencia de línea de potencia en señales electrocardiográficas mediante filtro dual de Kalman”, Revista Ingeniería e Investigación, 27(3), pp. 77-88, 2007. ISSN 0129-5608, Bogotá, Colombia. Read the paper

1. L.D. Avendaño-Valencia, L.E. Avendaño, E. Delgado-Trejos and D. Cuesta-Frau, “State-space modal representations for decomposition of multivariate non-stationary signals”, IFAC System Identification Workshop, July 2021.

2. L.D. Avendaño-Valencia, I. Abdallah, A. Venu, and E.N. Chatzi, “Virtual loads predictions of wake-affected wind turbines: Gaussian Process Regression, and Deep Neural Networks”, Wind Energy Science Conference, 25-28 May 2021, Hannover, Germany. Read the paper

3. L.D. Avendaño-Valencia, “Parametric time-series modeling of vibration monitoring data: Challenges and methods”, ASCE Engineering Mechanics Institute International Conference, March 2021. Read the paper

4. C. Roberts, D. García-Cava, L.D. Avendaño-Valencia, “Understanding the Influence of Environmental and Operational Variability on Wind Turbine Blade Monitoring”. In: Rizzo P., Milazzo A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2020. Lecture Notes in Civil Engineering, vol 127. Springer. January 2021. Read the paper

5. C.A. Hoelzl, L.D. Avendaño-Valencia, V.K. Dertimanis, E.N. Chatzi, M. Zurkirchen, “Axle Box Accelerometer Signal Identification and Modelling”. In: Mao Z. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. October 2020. Read the paper

6. L.D. Avendaño-Valencia, and E.N. Chatzi, “Modelling long-term vibration monitoring data with Gaussian Process time-series models”, in 3rd IFAC Workshop on Linear Parameter-Varying Systems. Nov. 4-6, Eindhoven, Netherlands, 2019. Read the paper

7. H. Martín-Sanz, V. Dertimanis, L.D. Avendaño-Valencia, E. N. Chatzi, and E. Brühwiler, “Monitoring of the Chillon viaduct after strengthening with UHPFRC”, In 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), Melbourne, Australia, July 2018. Read the paper

8. W. Weijtjens, L.D. Avendaño-Valencia, C. Devriendt, and E. N. Chatzi, “Cost-effective vibration-based detection of wind turbine blade icing from sensors mounted in the tower”, In 9th European Workshop on Structural Health Monitoring (EWSHM 2018), Manchester, UK, July 2018. Read the paper

9. L.D. Avendaño-Valencia, K. Tatsis, and E. N. Chatzi, “Gaussian Process Vector AR surrogates for identification of structures under varying operational conditions”, In 8th Conference on Computational Stochastic Mechanics (CSM8), Paros, Greece, June 2018. DOI: 10.3850/978-981-11-2723-6_04-cd. Read the paper

10. L.D. Avendaño-Valencia, I. Abdallah, and E. N. Chatzi, “On the differences of the dynamic response of up-wind and waked wind turbines: Analysis via surrogate Gaussian Process time series models”, In ICVRAM – ISUMA – Uncertainties 2018 Conference, Florianopolis, Brasil, April 2018.

11. L.D. Avendaño-Valencia, and E. N. Chatzi, “Sensitivity driven robust vibration-based damage diagnosis under uncertainty through hierarchical Bayes time-series representations”, Procedia Engineering, 199, pp. 1852-1857, Proceedings of the X International Conference on Structural Dynamics, EURODYN 2017, September 2017. Read the paper

12. L.D. Avendaño-Valencia, B. Barahona, C. Hoelzl and E. N. Chatzi, “Operational regime clustering for the construction of PCE-based surrogates of operational wind turbines”, Proceedings of the 7th International Conference on Advances in Experimental Structural Engineering, September 2017. Read the paper

13. L.D. Avendaño-Valencia, E. N. Chatzi and S. D. Fassois, “In-operation wind turbine modal analysis via LPV-VAR modeling”, Conference Proceedings of the Society for Experimental Mechanics Series, Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, 8, pp. 47-57, 2017. Read the paper

14. L.D. Avendaño-Valencia, and E. N. Chatzi, “Analysis of the uncertain non-stationary response of wind turbines via PC-LPV-AR models”, Engineering Mechanics Institute Conference, EMI 2016. (Oral presentation)

15. L.D. Avendaño-Valencia and S. D. Fassois, “Markov Chain Monte Carlo estimation of non-stationary GSC-TARMA models: application to random vibration modeling and analysis for an operating wind turbine”, Proceedings of the International Conference on Noise and Vibration Engineering, ISMA, 2016. Read the paper

16. J.C. Vásquez-Correa, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, L.D. Avendaño-Valencia and E. Noeth, “Time dependent ARMA for automatic recognition of fear-type emotions in speech”, in Proceedings of the 18th International Conference on Text, Speech and Dialogue, TSD 2015, pp. 96-104, September, 2015. Read the paper

17. L.D. Avendaño-Valencia, E. N. Chatzi and M. D. Spiridonakos, “Surrogate modeling of nonstationary systems with uncertain properties”, Proceedings of the Safety and Reliability of Complex Engineered Systems, ESREL 2015, editors: Luca Podofillini, Bruno Sudret, Bozidar Stojadinovic, Enrico Zio and Wolfgang Kröger, pp. 4079-4087, Zurich, Switzerland, 2015. Read the paper

18. L.D. Avendaño-Valencia, E. N. Chatzi and M. D. Spiridonakos, “Non-stationary random coefficient models for vibration-based SHM in structures influenced by strong operational and environmental uncertainty”, Proceedings of the International Workshop on Structural Health Monitoring 2015, Stanford, USA, 2015. Read the paper

19. L.D. Avendaño-Valencia and S. D. Fassois, “Natural Vibration Response Based Damage Detection for an Operating Wind Turbine via Random Coefficient Linear Parameter Varying AR Modelling”, Journal of Physics: Conference Series, IOP Publishing, 628 (2015) 012073, 11th International Conference on Damage Assessment of Structures(DAMAS), Gent, Belgium, 2015. Read the paper

20. L.D. Avendaño-Valencia and S. D. Fassois, “Bayesian Multiple-Model SHM for Time-Dependent Structures: Application to wind turbine diagnostics”, Proceedings of CANSMART – International Conference on Smart Materials and Structures, Vancouver, Canada 2015. Read the paper

21. L.D. Avendaño-Valencia and S. D. Fassois, “On Multiple-Model Based Linear-Parameter-Varying Based SHM for Time-Dependent Structures Under Uncertainty”, Proceedings of the Surveillance 8 International Conference, Roanne, France, October 2015. Read the paper

22. L.D. Avendaño-Valencia and S. D. Fassois, “Robust fault detection based on multiple functional series TAR models for structures with time-dependent dynamics”, Proceedings of the European Workshop on Structural Health Monitoring (EWSHM), Nantes, France, 2014. Read the paper

23. L.D. Avendaño-Valencia and S.D. Fassois, “Decoupled estimation of the parameters and hyperparameters of generalized stochastic constraint TARMA models”, Proceedings of the 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), Athens, Greece, 2014. Read the paper

24. L.D. Avendaño-Valencia and S.D. Fassois, “In-Operation Identification of Wind Turbine Non-Stationary Dynamics: A Comparison of Various Methods”, Proceedings of the 5th International Operational Modal Analysis Conference (IOMAC), Guimaraes, Portugal, 2013. Read the paper

25. L.D. Avendaño-Valencia and S.D. Fassois, “Generalized Stochastic Constraint TARMA Models for In-Operation Identification of Wind Turbine Non-Stationary Dynamics”, Key Engineering Materials, Vols. 569-570, Proceedings of the Conference on Damage Assessment of Structures X (DAMAS), Dublin, Ireland, 2013. Read the paper

26. L.D. Avendaño-Valencia and S.D. Fassois, “In-Operation Output-Only Identification of Wind Turbine Structural Dynamics: Comparison of Stationary and Non-Stationary Approaches”, Proceedings of the ISMA International Conference on Noise and Vibration Engineering, Leuven, Belgium, 2012. Read the paper

27. S.D. Fassois and L.D. Avendaño-Valencia, “Non-Stationary Random Vibration Parametric Modelling and Identification: methods and applications”, Proceedings of the MEMSCON Workshop “Towards Intelligent Civil Infrastructure, Athens, Greece, 2012. Read the paper

28. L.D. Avendaño-Valencia, M.D. Spiridonakos and S.D. Fassois, “In Operation Identification of a Wind Turbine Structure via Non-Stationary Parametric Models”. 8th International Workshop on Structural Health Monitoring. September 13-15, 2011. Stanford University, California, USA. Read the paper

29. L. Duque-Muñoz, L.D. Avendaño-Valencia and C.G. Castellanos-Domínguez, “Discrimination of epileptic events using EEG rhythm decomposition”, Proceedings of the 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, pp. 436-444, La Palma, Spain, June 2011. Read the paper

30. J.D. Martinez-Vargas, L.D. Avendaño-Valencia, E. Giraldo and G. Castellanos-Dominguez, “Comparative analysis of time frequency representations for discrimination of epileptic activity in EEG signals”, 5th International IEEE/EMBS Conference on Neural Engineering (NER), 2011, pp. 148-151. Read the paper

31. L.D. Avendaño-Valencia, J.D. Martinez-Vargas, E. Giraldo and G. Castellanos-Dominguez, “Reduction of irrelevant and redundant data from TFRs for EEG signal classification”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010, pp. 4010-4013. Read the paper

32. L.D. Avendaño-Valencia, F. Martínez-Tabares, C.D. Acosta-Medina, I. Godino-Llorente and G. Castellanos-Domínguez, “TFR-based feature extraction using PCA approaches for discrimination of heart murmurs” Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5665-5668, 2009. Read the paper

33. L.D. Avendaño-Valencia, J.M. Ferrero and G. Castellanos-Dominguez, “Improved Parametric Estimation of Time Frequency Representations for Cardiac Murmur Discrimination”, Computers in Cardiology 2008, pp. 157-160. Read the paper

34. L.D. Avendaño-Valencia, J.M. Ferrero and G. Castellanos, “Caracterización basada en representaciones tiempo-frecuencia paramétricas para la detección de soplos cardíacos”, XXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica – CASEIB, 2008, Valladolid, España. Read the paper

35. C. Ospina-Aguirre, L.D. Avendaño-Valencia, E. Delgado-Trejos and G. Castellanos-Domínguez, “Metodología para evaluar el difeomorfismo de un atractor caótico usando el filtro de Kalman”, XIII Simposio de Tratamiento de Señales, Imágenes y Visión Artificial, Universidad Santo Tomas, Colombia, 2008. Read the paper

36. L.D. Avendaño-Valencia, J.D. Martínez-Vargas, L. Duque-Muñoz and G. Castellanos-Domínguez, “Discriminación de eventos epilépticos mediante espectros paramétricos variantes en el tiempo”, XIII Simposio de Tratamiento de Señales, Imágenes y Visión Artificial – STSIVA, 2008, Universidad Santo Tomas - Bucaramanga, Colombia. Read the paper

37. L.D. Avendaño-Valencia, L.E. Avendaño, J.M. Ferrero, G. Castellanos-Dominguez, “Improvement of an extended Kalman filter power line interference suppressor for ECG signals”, Computers in Cardiology 2007, pp. 553-556, Durham, United States of America. Read the paper

38. L.D. Avendaño-Valencia, L.E. Avendaño, J.M. Ferrero, G. Castellanos-Dominguez, “Extended Kalman filter power line interference suppressor”, XXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica – CASEIB, 2007, Cartagena, España.

39. L.D. Avendaño-Valencia, L.E. Avendaño, G. Castellanos-Dominguez, E.J. Villegas, “Reduction of power line interference on ECG signals using Kalman filtering and Delta operator”, 23rd ISPE International Conference on CAD/CAM robotics and factories of the future, 2007, Bogotá, Colombia.

40. L.D. Avendaño-Valencia, L.E. Avendaño, G. Castellanos-Dominguez y J.M. Ferrero, “Improvement of power line model in ECG for interference reduction using EKF”, Proceedings of IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health CLAIB 2007, Editors: C. Mueller-Karger, S. Wong, A. La Cruz, IFMBE Proceedings 18, pp. 109–113, 2007, Porlamar-Nueva Esparta, Venezuela. Read the paper

41. L.D. Avendaño-Valencia, A.F. Quiceno-Manrique, L.E. Avendaño, “Estimación Espectral de potencia de la señal ECG usando métodos no estacionarios y filtrado de Kalman”, VI Congreso Nacional de Electrónica, Telecomunicaciones e Informática, ETI 2006, Medellín, Colombia.

42. L.D. Avendaño-Valencia, A.F. Quiceno-Manrique, L.E. Avendaño, G. Castellanos-Domínguez and J.M. Ferrero, “Estimation and denoising of ECG signals using unscented Kalman filtering”, XXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica – CASEIB, 2006, Pamplona, España.

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