2021
C. Sakaris, R. Schlanbusch, “Analytics for asset integrity management in wind farms (AIMWind) : Low-cost solutions for turbine structural health monitoring“, Proceedings of the Science Meets Industry: Offshore Wind Energy seminar, Kristiansand, Norway, 2021 (poster).
S.T. Kandukuri, K.G. Robbersmyr, “Analytics for asset integrity management in wind farms (AIMWind) “, Proceedings of the Science Meets Industry: Offshore Wind Energy seminar, Kristiansand, Norway, 2021 (presentation).
A. J. Gallo, S. C. Anand, A. M. H. Teixeira and R. M. G. Ferrari, “Design of multiplicative watermarking against covert attacks,” 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, pp. 4176-4181, doi: 10.1109/CDC45484.2021.9683075.
2022
Mathew, M. S., Kandukuri, S. T. ., & Omlin, C. W. (2022). ” Estimation of Wind Turbine Performance Degradation with Deep Neural Networks” PHM Society European Conference, 7(1), 351–359. https://doi.org/10.36001/phme.2022.v7i1.3328
Alexander J. Gallo, Riccardo M.G. Ferrari, “Cryptographic switching functions for multiplicative watermarking in cyber-physical systems“, IFAC-PapersOnLine, Volume 55, Issue 6, 2022, Pages 414-419, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.07.164.
T. Keijzer, A. J. Gallo and R. M. G. Ferrari, “Hierarchical Cyber-Attack Detection in Large-Scale Interconnected Systems,” 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 6134-6139, doi: 10.1109/CDC51059.2022.9993072.
Z. Feng, A. J. Gallo, Y. Liu, A. K. Pamososuryo, R. M. G. Ferrari and J. -W. van Wingerden, “An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines,” 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 2425-2430, doi: 10.1109/CDC51059.2022.9992553.
C. Sakaris, R. Schlanbusch, “Damage detection and quantification in the mooring lines of floating offshore wind turbines though statistical methods“, Proceedings of the Science Meets Industry – SMIBergen2022 conference, Bergen, Norway, 2022 (presentation).
C. Sakaris, A. Schnepf, R. Schlanbusch, M.C. Ong, “A comparative study on damage detection in the delta mooring system of spar floating offshore wind turbines“, Proceedings of the 16th European Workshop on Advanced Control and Diagnosis (ACD) conference, Nancy, France, 2022. (presentation and future publication in a volume titled Recent Developments in Model-based and Data-driven Methods for Advanced Control and Diagnosis by Springer in the Studies in Systems, Decision and Control)
2023
C. Sakaris, R. Schlanbusch, “Damage detection in the mooring system of spar floating offshore wind turbines through statistical methods“, Proceedings of the 20th European Energy Research Alliance (EERA) DeepWind conference, Trondheim, Norway, 2023 (presentation).
C. Sakaris, A. Schnepf, R. Schlanbusch, M. C. Ong, “A comparative study on damage detection in the delta mooring system of spar floating offshore wind turbines“, Proceedings of the 16th European Workshop on Advanced Control and Diagnosis (ACD) conference, Nancy, France, 2022. Also published in: Heilliol, D., Korbicz, J., Kacprzyk, J. (eds), “Studies in Systems, Decision and Control: Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis“, Springer, vol 467, pp 283–293 .
M.S. Mathew, M.L. Kolhe, S.T. Kandukuri, C.W. Omlin,
“Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles“, Journal of Cleaner Production, Volume 421, 2023, 138467, ISSN 0959-6526,
M.S. Mathew,, S.T. Kandukuri, C.W. Omlin, “Predicting the capacity factor of wind farms using deep neural networks for estimating age related performance degradation”, Wind Europe Conference, Copenhagen, 25-27 April 2023 (poster presentation)
M. S. Mahmoud, H. V. Khang, J. Senanayaka, K. G. Robbersmyr and R. Panadero, “A two-stage Fault Diagnosis Scheme of Partial Demagnetization Faults in PMSMs with Low Labelled Rates,” 2023 IEEE International Electric Machines & Drives Conference (IEMDC), San Francisco, CA, USA, 2023, pp. 1-7, doi: 10.1109/IEMDC55163.2023.10238950.
J. Zhang, A. J. Gallo, and R. M. G. Ferrari, “Hybrid Design of Multiplicative Watermarking for Defense Against Malicious Parameter Identification“, 2023, arXiv, 2309.02385
N.D.N. Hoang, H.V. Khang and K.G. Robbersmyr, “Early Detection of Rolling Bearing Faults using Long Short-term Memory”, International Conference on Control, Robotics and Informatics, 2023, April 7-9, Da Nang, Vietnam (Presented. Full paper available in 2024)
N.D.N Hoang, H.V. Khang and K.G.Robbersmyr , “Current and Stray Flux Sensors for Anomaly Detection in PMSM Drive based on Gradient Boosting Machine”, IEEE Sensor 29 Oct – 1 Nov 2023, Vienna, Austria (Presented.)
2024
C. Sakaris, R. Schlanbusch, N. Anastasiadis, S.T. Kandukuri, “Structural Health Monitoring of synthetic mooring lines for semi-submersible wind floaters under varying environmental conditions”, Proceedings of the 21st European Energy Research Alliance (EERA) DeepWind conference, Trondheim, Norway, 2024. (Poster and conference paper)
C. Sakaris, R. Schlanbusch, N. Anastasiadis, Detecting Damages in Chain and Synthetic Mooring Lines of Floating Wind Turbines, in: Proceedings of the 3rd WindEurope Annual Event conference, Bilbao, Spain, 2024. Accepted (Poster, video presentation).
N. Anastasiadis, C. Sakaris, R. Schlanbusch, J. Sakellariou, Vibration-Based SHM in the Synthetic Mooring Lines of the Semi-Submersible OO-Star Wind Floater Under Varying Environmental and Operational Conditions. Sensors, 24(2), 543, 2024
C. Sakaris, R. Schlanbusch, T. A. Nygaard, J. Sakellariou, M. Tutkun, Statistical times series based damage detection in the fiber rope mooring lines of the semi-submersible OO-STAR wind floater, in: Proceedings of the 62nd IEEE Conference on Decision and Control (CDC), Marina Bay Sands, Singapore, 2023, pp. 4861-4866