[1]
E. Babak and D. Mba: Seeded fault detection on helical gears with acoustic emission. Appl. Acoust. Vol. 70 (2009), pp.547-555.
DOI: 10.1016/j.apacoust.2008.07.006
Google Scholar
[2]
T. H. Loutas , D. Roulias, E. Pauly and V. Kostopoulos: The combinede use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery. Mech. Syst. Signal Pr. Vol. 25 (2011).
DOI: 10.1016/j.ymssp.2010.11.007
Google Scholar
[3]
Z. Shi, J. Jarzynski, S. Bair , S. Hurlebaus and L. J. Jacobs: Characterization of acoustic emission signals from fatigue fracture. Proc IMechE, Part C: J. Mechanical Engineering Science Vol. 214 (2000), pp.1141-1149.
DOI: 10.1243/0954406001523588
Google Scholar
[4]
E. Verstrynge, L. Schueremans , D. V. Gemert and M. Wevers: Monitoring and predicting masonry's creep failure with the acoustic emssion technique. NDT & E INT Vol. 42 (2009), pp.518-523.
DOI: 10.1016/j.ndteint.2009.03.001
Google Scholar
[5]
D. Mba and L. D. Hall: The transmission of acoustic emission across large- scale turbine rotors. NDT & E INT Vol. 35 (2002), pp.529-539.
DOI: 10.1016/s0963-8695(02)00026-9
Google Scholar
[6]
P. Nivesrangsan, J. A. Steel and R. L. Reuben: AE mapping of engines for spatially located time series. Mech Syst Signal Pr Vol. 19 (2005), pp.1034-1054.
DOI: 10.1016/j.ymssp.2004.10.008
Google Scholar
[7]
X. H. Wang, C. M. Zhu, H. L. Mao and Z. F. Huang: Wavelet packet analysis for the propagation of acoustic emission signals across turbine rnners. NDT & E INT Vol. 42 (2009), pp.42-46.
DOI: 10.1016/j.ndteint.2008.07.005
Google Scholar
[8]
Q. Gang: Attenuation of acoustic emission body waves in acrylic bone cement and synthetic bone using wavelet time-scale analysis. J Biomed Mater Res B Vol. 52 (2000), pp.148-156.
DOI: 10.1002/1097-4636(200010)52:1<148::aid-jbm19>3.0.co;2-6
Google Scholar
[9]
ASTM. ASTM E976-99: standard guild for determining the reproducibility of acoustic emission sensor response. Annual Book of ASTM Standard 3. 03, 1999. pp.395-403.
Google Scholar