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All issues Volume 95 (2019) E3S Web Conf., 95 (2019) 01005 References
Open Access
Issue
E3S Web Conf.
Volume 95, 2019
The 3rd International Conference on Power, Energy and Mechanical Engineering (ICPEME 2019)
Article Number 01005
Number of page(s) 6
Section Manufacturing Engineering
DOI https://doi.org/10.1051/e3sconf/20199501005
Published online 13 May 2019
  1. Y. A. Jin, Y. He, G. H. Xue, et al. Int. J. Adv. Manuf. Technol., 77(5-8):927–937 (2015). [Google Scholar]
  2. A. K. Sood, R.K. Ohdar, S. S. Mahapatra. Journal of Advanced Research, 3(1):81–90 (2012). [Google Scholar]
  3. A. Peng, X. Xiao, R. Yue. Int. J. Adv. Manuf. Technol, 73(1-4):87–100 (2014). [Google Scholar]
  4. A. Huang, J. Lee. Rapid Prototyping J., 19(4):291–299 (2013). [CrossRef] [Google Scholar]
  5. A. K. Sood, A. Equbal, V. Toppo, et al. CIRP Ann-Manuf. Technol., 5(1):48–54 (2012). [CrossRef] [Google Scholar]
  6. M. R. K. Ravari, M. Kadkhodaei, M. Badrossamay, et al. Int. J. Mech. Sci., 88:154–161 (2014). [CrossRef] [Google Scholar]
  7. M. Abdelrahman, T. L. Starr. Int. J. Adv. Manuf. Technol., 84(5-8):831–842 (2016). [Google Scholar]
  8. P. Rao, J. Liu, D. Roberson, et al. J. Manuf. Sci. Eng.-Trans. ASME, 137(6):1007-1–1007-12 (2015). [Google Scholar]
  9. M. M. Kirka, R. Dinwiddie. Understanding the thermal sciences in the electron beam melting process through in-situ process monitoring[C]// Society of Photo-Optical Instrumentation Engineers. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 101690O (2017). [Google Scholar]
  10. B. Lane, S. Moylan, E. Whitenton, et al. Rapid Prototyping J, 22(5):778–787 (2016). [CrossRef] [Google Scholar]
  11. C. Kousiatza, D. Karalekas. Mater. Des., 97: 400–406 (2016). [Google Scholar]
  12. A. Kantaros, D. Karalekas. Mater. Des., 50: 44–50 (2013). [Google Scholar]
  13. W. Yi, H. Ketai, Z. Xiaomin, et al. Machine vision based statistical process control in fused deposition modeling[C]//Industrial Electronics and Applications (ICIEA), 2017 12th IEEE Conference on. IEEE, 936–941 (2017). [CrossRef] [Google Scholar]
  14. E. A. C. Koskelo, E. B. Flynn. Scanning laser ultrasound and wavenumber spectroscopy for in-process inspection of additively manufactured parts[C]//Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016. International Society for Optics and Photonics, 9804: 980418 (2016). [CrossRef] [Google Scholar]
  15. I. Cummings, E. Hillstrom, R. Newton, et al. In-process ultrasonic inspection of additive manufactured parts[M]//Topics in Modal Analysis & Testing, Volume 10. Springer, Cham, 235–247 (2016). [Google Scholar]
  16. I. T. Cummings, M. E. Bax, I. J. Fuller, et al. A Framework for Additive Manufacturing Process Monitoring & Control[M]//Topics in Modal Analysis & Testing, Volume 10. Springer, Cham, 137–146 (2017). [CrossRef] [Google Scholar]
  17. Z. Wu, N. E. Huang. Advances in adaptive data analysis, 1(01): 1–41 (2009). [Google Scholar]
  18. X. Zhang, Y. Liang, J. Zhou. Measurement, 69: 164–179 (2015). [CrossRef] [Google Scholar]
  19. A. Tabrizi, L. Garibaldi, A. Fasana, et al. Meccanica, 50(3): 865–874 (2015). [Google Scholar]
  20. X. Xue, J. Zhou, Y. Xu, et al. Mech. Syst. Signal Proc., 62: 444–459 (2015).) [CrossRef] [Google Scholar]
  21. L. Meng, J. Xiang, Wang Y, et al. Mech. Syst. Signal Proc., 50: 101–115 (2015). [CrossRef] [Google Scholar]
  22. X. Chen, G. Cheng, X. Shan, et al. Measurement, 73: 55–67 (2015). [Google Scholar]
  23. S. Z. Yu. Artif. Intell., 174(2): 215–243(2010). [Google Scholar]
  24. M. Dong, D. He. Mech. Syst. Signal Proc., 21(5): 2248–2266 (2007). [CrossRef] [Google Scholar]
  25. O. Geramifard, J. X. Xu, J. H. Zhou, et al. IEEE Trans. Ind. Inform., 8(4): 964–973 (2012). [CrossRef] [Google Scholar]
  26. H. Zen, K. Tokuda, T. Masuko, et al. IEICE Trans. Inf. Syst., 90(5): 825–834 (2007). [Google Scholar]
  27. V. Vapnik. The nature of statistical learning theory[M]. Springer science & business media (2013). [Google Scholar]
  28. R. B. Chinnam. Int. J. Prod. Res., 40(17): 4449–4466 (2002). [Google Scholar]
  29. A. Widodo, B. S. Yang. Mech. Syst. Signal Proc., 21(6): 2560–2574 (2007). [CrossRef] [Google Scholar]
  30. J. Sun, M. Rahman, Y. S. Wong, et al. Int. J. Mach. Tools Manuf., 44(11): 1179–1187 (2004). [CrossRef] [Google Scholar]
  31. Z. Yao, D. Mei, Z. Chen. J. Mater. Process. Technol., 210(5): 713–719 (2010). [CrossRef] [Google Scholar]
  32. J. Friedman. Another approach to polychotomous classification[R]. Technical report, Department of Statistics, Stanford University (1996). [Google Scholar]

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