13 Bayesian Estimation of Acoustic Emission Arrival Times for Source Localization 133 References 1. Attiogbe, E.K., Darwin, D.: Submicrocracking in cement paste and mortar. Mater. J. 84(6), 491–500 (1987) 2. Liners, A.D.: Microcracking of concrete under compression and its influence on tensile strength. Mater. Struct. 20(2), 111–116 (1987) 3. Landis, E.N., Shah, S.P.: The influence of microcracking on the mechanical behavior of cement based materials. Adv. Cem. Based Mater. 2(3), 105–118 (1995) 4. Kurz, J.H., Köppel, S., Linzer, L.M., Schechinger, B., Grosse, C.U.: Source localization. In: Acoustic Emission Testing, pp. 101–147. Springer, Berlin (2008) 5. Hinkley, D.V.: Inference about the change-point from cumulative sum tests. Biometrika 58(3), 509–523 (1971) 6. Ziola, S.M., Gorman, M.R.: Source location in thin plates using cross-correlation. J. Acoust. Soc. Am. 90(5), 2551–2556 (1991) 7. Ciampa, F., Meo, M.: Acoustic emission source localization and velocity determination of the fundamental mode a0 using wavelet analysis and a newton-based optimization technique. Smart Mater. Struct. 19(4), 045027 (2010) 8. Babjak, B., Szilvasi, S., Volgyesi, P., Yapar, O., Basu, P.K.: Analysis and efficient onset time detection of acoustic emission signals with power constrained sensor platforms. In: SENSORS, 2013, pp. 1–4. IEEE, Piscataway (2013) 9. Schechinger, B., Vogel, T.: Acoustic emission for monitoring a reinforced concrete beam subject to four-point-bending. Constr. Build. Mater. 21(3), 483–490 (2007) 10. Madarshahian, R., Ziehl, P., Caicedo, J.M.: Acoustic emission Bayesian source location: onset time challenge. Mech. Syst. Signal Process. 123, 483–495 (2019) 11. Madarshahian, R., Soltangharaei, V., Anay, R., Caicedo, J.M., Ziehl, P.: Hsu-Nielsen source acoustic emission data on a concrete block. Data Brief. 103813 (2019) 12. Sause, M.G.: Investigation of pencil-lead breaks as acoustic emission sources. J. Acoust. Emiss. 29, 184–196 (2011) 13. Mborah, C., Ge, M., Wang, Z.: Exploring the use of a time-frequency domain technique for the filtering of acoustic emission/microseismic data. In: Second International Conference on Information Systems Engineering (ICISE), 2017, pp. 59–63. IEEE, Piscataway (2017) 14. Kurz, J.H., Grosse, C.U., Reinhardt, H.-W.: Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete. Ultrasonics 43(7), 538–546 (2005) 15. Liu, M., Yang, J., Cao, Y., Fu, W., Cao, Y.: A new method for arrival time determination of impact signal based on HHT and AIC. Mech. Syst. Signal Process. 86, 177–187 (2017) 16. Gollob, S., Kocur, G.K., Schumacher, T., Mhamdi, L., Vogel, T.: A novel multi-segment path analysis based on a heterogeneous velocity model for the localization of acoustic emission sources in complex propagation media. Ultrasonics 74, 48–61 (2017) 17. Beck, J.L., Katafygiotis, L.S.: Updating models and their uncertainties. I: Bayesian statistical framework. J. Eng. Mech. 124(4), 455–461 (1998) 18. Aster, R.C., Borchers, B., Thurber, C.H.: Parameter Estimation and Inverse Problems, vol. 90. Academic, Cambridge (2011) 19. Vakilzadeh, M.K., Huang, Y., Beck, J.L., Abrahamsson, T.: Approximate Bayesian computation by subset simulation using hierarchical statespace models. Mech. Syst. Signal Process. 84, 2–20 (2017) 20. Salvatier, J., Wiecki, T.V., Fonnesbeck, C.: Probabilistic programming in python using pymc3. PeerJ Comput. Sci. 2, e55 (2016)
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