TY - JOUR
T1 - Acoustic emission source location for steel pipe and pipeline applications: the role of arrival time estimation
T2 - The role of arrival time estimation
AU - Shehadeh, M.
AU - Steel, J. A.
AU - Reuben, R. L.
PY - 2006/5
Y1 - 2006/5
N2 - Acoustic emission (AE) can be generated by a number of different fault conditions in pipes, including localized fluid-mechanical disturbances, such as local impingement or erosion, growing fatigue cracks or crack face rubbing, external impacts and leaks, each of which may have its own temporal and frequency characteristics. In this paper, a linear array of sensors is applied with the ultimate aim of locating and reconstituting the time-domain and frequencydomain signatures of AE sources in pipes. Experiments have been carried out with a simulated source on sections of line pipe and process pipe using a linear array. The acquired signals have two identifiable components and methods are demonstrated for separating these components automatically and determining their group velocities. A range of techniques, including a wavelet transform technique, a cross-correlation technique, and a filtering and thresholding technique are applied to obtain arrival times for various modes of the signal. Finally, methods are proposed for giving automatic source location in large length-diameter ratios with an accuracy of better than 5 per cent. © IMechE 2006.
AB - Acoustic emission (AE) can be generated by a number of different fault conditions in pipes, including localized fluid-mechanical disturbances, such as local impingement or erosion, growing fatigue cracks or crack face rubbing, external impacts and leaks, each of which may have its own temporal and frequency characteristics. In this paper, a linear array of sensors is applied with the ultimate aim of locating and reconstituting the time-domain and frequencydomain signatures of AE sources in pipes. Experiments have been carried out with a simulated source on sections of line pipe and process pipe using a linear array. The acquired signals have two identifiable components and methods are demonstrated for separating these components automatically and determining their group velocities. A range of techniques, including a wavelet transform technique, a cross-correlation technique, and a filtering and thresholding technique are applied to obtain arrival times for various modes of the signal. Finally, methods are proposed for giving automatic source location in large length-diameter ratios with an accuracy of better than 5 per cent. © IMechE 2006.
KW - Acoustic emission
KW - Cross-correlation
KW - Energy
KW - Long steel pipe
KW - Threshold
KW - Wavelet analysis
UR - http://www.scopus.com/inward/record.url?scp=33746009956&partnerID=8YFLogxK
U2 - 10.1243/095440806X78829
DO - 10.1243/095440806X78829
M3 - Article
SN - 0954-4089
VL - 220
SP - 121
EP - 133
JO - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
IS - 2
ER -