2006
DOI: 10.1243/095440806x78829
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Acoustic Emission Source Location for Steel Pipe and Pipeline Applications: The Role of Arrival Time Estimation

Abstract: 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 frequency-domain signatures of AE sources in pipes. Experiments … Show more

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Cited by 41 publications
(28 citation statements)
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“…Shehadeh and coauthors [23] proposed a linear array of sensors to locate and reconstitute the time-domain and frequency-domain signatures of AE sources in pipes. Simulated sources on sections of line pipe were used and a range of techniques, including a wavelet-transform technique, a cross-correlation technique, and a filtering and thresholding technique were proposed.…”
Section: Acoustic Emissionmentioning
confidence: 99%
“…Shehadeh and coauthors [23] proposed a linear array of sensors to locate and reconstitute the time-domain and frequency-domain signatures of AE sources in pipes. Simulated sources on sections of line pipe were used and a range of techniques, including a wavelet-transform technique, a cross-correlation technique, and a filtering and thresholding technique were proposed.…”
Section: Acoustic Emissionmentioning
confidence: 99%
“…Shehadeh et al 22 presented a brief review of arrival time estimation techniques that included 'first threshold crossing', cross-correlation and wavelet analysis for AE source location in pipes and pipelines. They also presented a sliding window energy technique in which the ratio of high-frequency energy (>340 kHz, noise) and low frequency energy (<340 kHz, signal) is calculated for a short time window (20 ms) which is shifted along the signal.…”
Section: Statisticalmentioning
confidence: 99%
“…Shehadeh et al [17] have used a linear array to locate and reconstitute the time-domain and frequencydomain signatures of AE sources in pipes. They demonstrate methods for automatically separating and determining the wave velocity of components in experimental signals and investigate a range of techniques, including a wavelet transform technique, a cross-correlation technique, and a filtering and thresholding technique, to obtain arrival times for various modes and proposed an automatic source location technique with an accuracy of 5 per cent.…”
Section: Recent Advancesmentioning
confidence: 99%