PSI - Issue 37
Tomasz Rogala et al. / Procedia Structural Integrity 37 (2022) 187–194 / Structural Integrity Procedia 00 (2019) 000 – 000
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Hauffe, A., Hähnel, F., Wolf, K., 2020. Comparison of Algorithms to Quantify the Damaged Area in CFRP Ultrasonic Scans. Composite Structures 235, 111791. Jac Fredo, A.R., Abilash, R.S., Femi, R., Mythili, A., Suresh Kumar, C., 2019. Classification of Damages in Composite Images Using Zernike Moments and Support Vector Machines. Composites Part B: Engineering 168, 77. Jac Fredo, A.R., Abilash, R.S., Femi, R., Sri Madhava Raja, N., Suresh Kumar, C., 2021. Characterization of Global and Local Damages in Composite Images Using Geometrical and Fourier-Hu Moment–Based Shape Descriptors. Journal of Testing and Evaluation 49, 796. Katunin, A., Dańczak, M., Kostka, P., 2015. Automated Identif ication and Classification of Internal Defects in Composite Structures Using Computed Tomography and 3D Wavelet Analysis. Archives of Civil and Mechanical Engineering 15, 436. Katunin, A., Wronkowicz, A., 2015. Directionality Detection of Delaminations Basing on Analysis of CT Slices Using Wavelet and Hough Transforms-Based Algorithm. Diagnostyka 16, 3. Katunin, A., Wronkowicz, A., 2017. Characterization of Failure Mechanisms of Composite Structures Subjected to Fatigue Dominated with the Self-Heating Effect. Composite Structures 180, 1. Larossa, C., Lonkar, K., Chang, F.-K., 2014. In Situ Damage Classification for Composite Laminates Using Gaussian Discriminant Analysis. Structural Health Monitoring 13, 190. Li, Z. Liu, F. Yang, W. Peng S. and Zhou, J. 2021. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects, IEEE Transactions on Neural Networks and Learning Systems, pp. 1 – 21. Murphy KP, 2012 Machine learning: a Probabilistic Perspective. Cambridge, MA: The MIT Press. Rytter, A., 1993. “Vibration Based Inspection of Civil Engineering Structures”. Ph.D. dissertation. Department of Building Technology and Structural Engineering, Aalborg University, Denmark, pp. 193. Sammons, D., Winfree, W.P., Burke, E., Ji, S., 2016. Segmenting Delaminations in Carbon Fiber Reinforced Polymer Composite CT Using Convolutional Neural Networks. AIP Conference Proceedings 1706, 110014. Shivanand S. et al. (2020) Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments, Frontiers in Robotics and AI, vol. 7. Usamentiaga, R., Venegas, P., Guerediaga, J., Vega, L., López, I., 2013. Feature Extraction and Analysis for Automatic Characterization of Impact Damage in Carbon Fiber Composites Using Active Thermography. NDT&E International 54, 123. Zhou, W., Kovvali, N., Reynolds, W., Papandreou-Suppappola, A., Chattopadhyay, A., Cochran, D., 2009. On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures. Journal of Intelligent Material Systems and Structures 20, 1271. Zhou W., et al. 2018. Three-dimensional sphericity, roundness and fractal dimension of sand particles, Geotechniques, Vol. 68 (1), pp. 18-30
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