[1]
J. Baram, M. Rosen, Fatigue life prediction by distribution analysis of acoustic emission signals, J. Mater. Sci. Eng. 41(1), 1979, pp.25-30.
DOI: 10.1016/0025-5416(79)90040-5
Google Scholar
[2]
H.B. Teoh, K. Ono, Fracture induced acoustic emission during slow bend tests of A533B steel, J. Acoust. Emiss. 6(1), 1987, pp.1-12.
Google Scholar
[3]
C.R.L. Murthy, B. Dattaguru, A.K. Rao, Application of pattern recognition concepts to acoustic emission signal analysis, J. Acoust. Emiss. 6(1), 1987, pp.19-28.
Google Scholar
[4]
D.J. Buttle, C.B. Scruby, Characterization of fatigue of aluminum alloys by acoustic emission Part I – identification of source mechanism, J. Acoust. Emiss. 9(1990), pp.243-254.
DOI: 10.1016/0963-8695(92)90675-7
Google Scholar
[5]
D.J. Buttle, C.B. Scruby, Characterization of fatigue of aluminum alloys by acoustic emission Part II – discrimination between primary and other emissions, J. Acoust. Emiss. 9(1990), pp.255-270.
DOI: 10.1016/0963-8695(92)90676-8
Google Scholar
[6]
M.H. El Ghamry, R.L. Reuben, J.A. Steel, The development of automatated pattern recognition and statistical feature isolation techniques for the diagnosis of reciprocating machinery faults using acoustic emission, J. Mech. Syst. Signal Process. 17(4), 2003, pp.805-823.
DOI: 10.1006/mssp.2002.1473
Google Scholar
[7]
T.M. Roberts, M. Talebzadeh, Acoustic emission monitoring of fatigue crack propagation, J. Constr. Steel Res. 59(6), 2003, pp.695-712.
DOI: 10.1016/s0143-974x(02)00064-0
Google Scholar
[8]
L.D. Hall, D. Mba, Acoustic Emissions diagnosis of rotor-stator rubs using the KS statistic, J. Mech. Syst. Signal Process. 18(4), 2004, pp.849-868.
DOI: 10.1016/s0888-3270(03)00050-5
Google Scholar
[9]
P. Nivesrangsan, J.A. Steel, R.L. Reuben, Source location of acoustic emission in diesel engines, J. Mech. Syst. Signal Process. 21(2), 2007, pp.1103-1114.
DOI: 10.1016/j.ymssp.2005.12.010
Google Scholar