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2021 Vol.41, Issue 4 Preview Page


August 2021. pp. 93-105
Martinez-Luengo, M., Kolios, A., and Wang, L., Structural Health Monitoring of Offshore Wind Turbines: A Review through the Statistical Pattern Recognition Paradigm, Renewable and Sustainable Energy Reviews, Vol. 64, pp. 91-105, 2016. 10.1016/j.rser.2016.05.085
Liu, W. Y., Tang, B. P., Han, J. G., Lu, X. N., Hu, N. N., and He, Z. Z., The Structure Healthy Condition Monitoring and Fault Diagnosis Methods in Wind Turbines: A Review, Renewable and Sustainable Energy Reviews, Vol. 44, pp. 466-472, 2015. 10.1016/j.rser.2014.12.005
Bagheri, A. and Kourehli, S., Damage Detection of Structures under Earthquake Excitation using Discrete Wavelet Analysis, Asian Journal of Civil Engineering, Vol. 14, pp. 289-304, 2013.
Kolios, A. J. and Martinez Luengo, M., Operational Management of Offshore Energy Assets, Journal of Physics: Conference Series, 2016. 10.1088/1742-6596/687/1/012001
Kolios, A., Chahardehi, A., and Brennan, F., Experimental Determination of the Overturning Moment and Net Lateral Force Generated by a Novel Vertical Axis Wind Turbine: Experiment Design Under Load Uncertainty, Experimental Techniques, Vol. 37, pp. 7-14, 2013. 10.1111/j.1747-1567.2011.00727.x
Witten, I. H., Frank, E., Hall, M., and Pal, C., Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2016. 10.1016/B978-0-12-804291-5.00010-6
Mohri, M., Rostamizadeh, A., and Talwalkar, A., Foundations of Machine Learning, The MIT Press, 2012.
Liu, B., Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data,Data-Centric Systems and Applications, Springer-Verlag Berlin Heidelberg, 2011.
Dietterich, T. G., Machine Learning, Kluwer Academic Publishers, 2000.
Thrampoulidis, C., Oymak, S., and Hassibi, B., Regularized Linear Regression: A Precise Analysis of the Estimation Error, Proceedings of The 28th Conference on Learning Theory, 2015.
Lee, M. T., Artificial Neural Networks, Analysis of Microarray Gene ExpressionData, 2004.
Chatterjee, C., Wen, L., Vinsen, K., Kovalam, M., and Datta, A., Using Deep Learning to Localize Gravitational Wave Sources, Physical Review D, Vol. 100, No. 10, pp. 103025, 2019. 10.1103/PhysRevD.100.103025
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 41
  • No :4
  • Pages :93-105
  • Received Date :2021. 04. 12
  • Revised Date :2021. 05. 07
  • Accepted Date : 2021. 06. 02