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Acoustic emission and machine learning based classification of wear generated using a pin-on-disc tribometer equipped with a digital holographic microscope
Deshpande, P., Pandiyan, V., Meylan, B., & Wasmer, K. (2021). Acoustic emission and machine learning based classification of wear generated using a pin-on-disc tribometer equipped with a digital holographic microscope. Wear, 203622 (12 pp.). https://doi.org/10.1016/j.wear.2021.203622
Acoustic emission and machine learning for in situ monitoring of a gold-copper ore weakening by electric pulse
Meylan, B., Shevchik, S. A., Parvaz, D., Mosaddeghi, A., Simov, V., & Wasmer, K. (2021). Acoustic emission and machine learning for in situ monitoring of a gold-copper ore weakening by electric pulse. Journal of Cleaner Production, 280, 124348 (12 pp.). https://doi.org/10.1016/j.jclepro.2020.124348
Monitoring of friction-related failures using diffusion maps of acoustic time series
Shevchik, S. A., Zanoli, S., Saeidi, F., Meylan, B., Flück, G., & Wasmer, K. (2021). Monitoring of friction-related failures using diffusion maps of acoustic time series. Mechanical Systems and Signal Processing, 148, 107172 (14 pp.). https://doi.org/10.1016/j.ymssp.2020.107172
Investigations of surface defects during laser polishing of tool steel
Meylan, B., Calderon, I., Tri Le, Q., & Wasmer, K. (2020). Investigations of surface defects during laser polishing of tool steel. In M. Schmidt, F. Vollertsen, & E. Govekar (Eds.), Procedia CIRP: Vol. 94. 11th CIRP conference on photonic technologies [LANE 2020] (pp. 942-946). https://doi.org/10.1016/j.procir.2020.09.092
Re-solidification dynamics and microstructural analysis of laser welded aluminium
Meylan, B., Le-Quang, T., Olbinado, M. P., Rack, A., Shevchik, S. A., & Wasmer, K. (2020). Re-solidification dynamics and microstructural analysis of laser welded aluminium. International Journal of Materials Research, 111(1), 17-22. https://doi.org/10.3139/146.111838
Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance
Shevchik, S., Le-Quang, T., Meylan, B., Vakili Farahani, F., Olbinado, M. P., Rack, A., … Wasmer, K. (2020). Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance. Scientific Reports, 10, 3389 (12 pp.). https://doi.org/10.1038/s41598-020-60294-x
3D reconstruction of cracks propagation in mechanical workpieces analyzing non-stationary acoustic mixtures
Shevchik, S. A., Meylan, B., Violakis, G., & Wasmer, K. (2019). 3D reconstruction of cracks propagation in mechanical workpieces analyzing non-stationary acoustic mixtures. Mechanical Systems and Signal Processing, 119, 55-64. https://doi.org/10.1016/j.ymssp.2018.09.022
Laser welding quality monitoring via graph support vector machine with data adaptive kernel
Shevchik, S. A., Le-Quang, T., Farahani, F. V., Faivre, N., Meylan, B., Zanoli, S., & Wasmer, K. (2019). Laser welding quality monitoring via graph support vector machine with data adaptive kernel. IEEE Access, 7, 93108-93122. https://doi.org/10.1109/ACCESS.2019.2927661
In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach
Wasmer, K., Le-Quang, T., Meylan, B., & Shevchik, S. A. (2019). In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach. Journal of Materials Engineering and Performance, 28(2), 666-672. https://doi.org/10.1007/s11665-018-3690-2
Why is in situ quality control of laser keyhole welding a real challenge?
Le-Quang, T., Shevchik, S. A., Meylan, B., Vakili-Farahani, F., Olbinado, M. P., Rack, A., & Wasmer, K. (2018). Why is in situ quality control of laser keyhole welding a real challenge? In M. Schmidt, F. Vollertsen, & G. Dearden (Eds.), Procedia CIRP: Vol. 74. 10th CIRP conference on photonic technologies [LANE 2018] (pp. 649-653). https://doi.org/10.1016/j.procir.2018.08.055
Effect of surface texturing on cast iron reciprocating against steel under cyclic loading in boundary and mixed lubrication conditions
Meylan, B., Saeidi, F., & Wasmer, K. (2018). Effect of surface texturing on cast iron reciprocating against steel under cyclic loading in boundary and mixed lubrication conditions. Lubricants, 6(1), 2 (13 pp.). https://doi.org/10.3390/lubricants6010002
Acoustic Emission for <i>in situ</i> monitoring of laser processing
Shevchik, S., Le, Q. T., Meylan, B., & Wasmer, K. (2018). Acoustic Emission for in situ monitoring of laser processing. In Conference proceedings Ewgae 2018 (p. (9 pp.). CETIM.
Acoustic emission for <i>in situ</i> monitoring of solid materials pre-weakening by electric discharge: a machine learning approach
Shevchik, S. A., Meylan, B., Mosaddeghi, A., & Wasmer, K. (2018). Acoustic emission for in situ monitoring of solid materials pre-weakening by electric discharge: a machine learning approach. IEEE Access, 6, 40313-40324. https://doi.org/10.1109/ACCESS.2018.2853666
AM/LW process monitoring combining high-speed X-ray imaging, acoustic & optical sensors and artificial intelligence
Wasmer, K., Le, T. Q., Meylan, B., Vakili-Farahani, F., Leinenbach, C., Olbinado, M. P., … Shevchik, S. A. (2018). AM/LW process monitoring combining high-speed X-ray imaging, acoustic & optical sensors and artificial intelligence. Presented at the ESRF user meeting 2018. Grenoble, France.
Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach
Wasmer, K., Le-Quang, T., Meylan, B., Vakili-Farahani, F., Olbinado, M. P., Rack, A., & Shevchik, S. A. (2018). Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach. In M. Schmidt, F. Vollertsen, & G. Dearden (Eds.), Procedia CIRP: Vol. 74. 10th CIRP conference on photonic technologies [LANE 2018] (pp. 654-658). https://doi.org/10.1016/j.procir.2018.08.054
When AE (acoustic emission) meets AI (artificial intelligence) II
Wasmer, K., Saeidi, F., Meylan, B., Le, Q. T., & Shevchik, S. A. (2018). When AE (acoustic emission) meets AI (artificial intelligence) II. In Conference proceedings Ewgae 2018 (p. (12 pp.). CETIM.
A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy
Zhang, B., Meylan, B., Wasmer, K., & Cuche, E. (2018). A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy. In M. F. B. Abdollah (Ed.), Proceedings of Asia international conference on tribology 2018 (pp. 109-110). Malaysian Tribology Society.
A new ball-on-disk vacuum tribometer with <i>in situ</i> measurement of the wear track by digital holographic microscopy
Meylan, B., Ciani, D., Zhang, B., Cuche, E., & Wasmer, K. (2017). A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy. Surface Topography: Metrology and Properties, 5(4), 044004 (10 pp.). https://doi.org/10.1088/2051-672X/aa854a
Origin of scuffing in grey cast iron-steel tribo-system
Saeidi, F., Taylor, A. A., Meylan, B., Hoffmann, P., & Wasmer, K. (2017). Origin of scuffing in grey cast iron-steel tribo-system. Materials and Design, 116, 622-630. https://doi.org/10.1016/j.matdes.2016.12.044
Prediction of failure in lubricated surfaces using acoustic time–frequency features and random forest algorithm
Shevchik, S. A., Saeidi, F., Meylan, B., & Wasmer, K. (2017). Prediction of failure in lubricated surfaces using acoustic time–frequency features and random forest algorithm. IEEE Transactions on Industrial Informatics, 13(4), 1541-1553. https://doi.org/10.1109/TII.2016.2635082