Research

PUBLICATIONS

(14) Yucesan, Y. A., and Viana, F. A. C., (2022) "A hybrid physics-informed neural network for main bearing fatigue prognosis under grease quality variation," Mechanical Systems and Signal Processing, Vol. 171, pp. 108875, 2022. (DOI: 10.1016/j.ymssp.2022.108875).

(13) Blokland, W., Ramuhalli, P., Peters, C., Yucesan, Y. A., Zhukov, A., Schram, M., Rajput, K. and Jeske, T., (2022). “Uncertainty aware anomaly detection to predict errant beam pulses in the Oak Ridge Spallation Neutron Source accelerator,” Physical Review Accelerator and Beams, Vol. 25 (12), pp. 122802. (DOI: 10.1103/PhysRevAccelBeams.25.122802).

(12) Yucesan, Y. A., Dourado, A., and Viana, F. A. C., (2021) "A survey of modeling for prognosis and health management of industrial equipment," Advanced Engineering Informatics, Vol. 50, pp. 101404, 2021. (DOI: 10.1016/j.aei.2021.101404).

(11) Yucesan, Y. A., and Viana, F. A. C., (2021) "A probabilistic hybrid model for main bearing fatigue considering uncertainty in grease quality," AIAA Scitech 2021 Forum, Virtual Event, January 11-15 and 19-21, 2021, AIAA–2021–1243 (DOI: 10.2514/6.2021-1243).

(10) Yucesan, Y. A., Viana, F. A. C., Manin, L., and Mahfoud, J. (2021), “Adjusting a torsional vibration damper model with physics-informed neural networks,” Mechanical Systems and Signal Processing, Vol. 154, pp. 107552, 2021. (DOI: 10.1016/j. ymssp.2020.107552).

(9) Yucesan, Y. A. and Viana, F. A. C. (2021), “Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection,” Computers in Industry, Vol. 125, pp. 103386, 2021. (DOI: 10.1016/j.compind.2020.103386).

(8) Viana, F. A. C., Nascimento, R. G., Dourado, A., and Yucesan, Y. A. (2021), "Estimating model inadequacy in ordinary differential equations with physics-informed neural networks," Computers and Structures, Vol. 245, 106458, 2021. (DOI: 10.1016/j.compstruc.2020.106458).

(7) Yucesan, Y. A. and Viana, F. A. C. (2020), "A physics-informed neural network for wind turbine main bearing fatigue," International Journal of Prognostics and Health Management, Vol. 11 (1), 2020. (ISSN: 2153-2648).

(6) Yucesan, Y. A. and Viana, F. A. C. (2020), "A hybrid model for wind turbine main bearing fatigue with uncertainty in grease observations," Proceedings of the Annual Conference of the PHM Society, Vol. 12 (1), Virtual Event, November 9-13, 2020 (DOI: 10.36001/phmconf.2020.v12i1.1139).

(5) Yucesan, Y. A., Von Zuben, A., Viana, F. A. C., and Mahfoud, J. (2020), "Estimating parameters and discrepancy of computer models with graphs and neural networks," AIAA Aviation Forum, Virtual Event, June 15-19, 2020, AIAA 2020-3123 (DOI: 10.2514/6.2020-3123).

(4) Yucesan, Y. A. and Viana, F. A. C. (2020), "A hybrid model for main bearing fatigue prognosis based on physics and machine learning," AIAA SciTech Forum, Orlando, FL, USA, January 6-10, 2020 (p. 1412) (DOI 10.2514/6.2020-1412) .

(3) Yucesan, Y. A. and Viana, F. A. C. (2019), "Wind turbine main bearing fatigue life estimation with physics-informed neural networks," Proceedings of the Annual Conference of the PHM Society, Scottsdale, AZ, USA, September 21-26, 2019 (DOI: 10.36001/phmconf.2019.v11i1.807) .

(2) Yucesan, Y. A. and Viana, F. A. C. (2019), "Onshore wind turbine main bearing reliability and its implications in fleet management," AIAA SciTech Forum, San Diego, CA, USA, January 7-11, 2019, AIAA 2019-1225 (DOI: 10.2514/6.2019-1225) .

(1) Yucesan, Y. A. and Acar, E. (2017), “Shape Optimization of Lightening Holes Used in Aircraft Fuselage Beams,” 4th International Conference on Computational and Experimental Science and Engineering (ICCESEN 2017), Antalya, Turkey, October 4-8, 2017.