P-Wave Onset Detection Based on the Spectrograms of the AE Signals

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Determining the onset of acoustic emissions (AE) signal is very time consuming if the onset is picked manually, so it is important to read the arrival times of P phase automatically. Automatic onset detection and picking algorithm has been proposed by applying the spectro-ratio on time–frequency sub-band. Powers of frequency sub-bands are determined by spectrogram as a time–frequency representation. Adaptive thresholds are calculated for one of these sub-bands to check if there is a P-wave arrival in the segment or not. To verify this check another test is done using the spectro-ratio. The application of this algorithm on the AE signals from the pencil-breaking test shows a reasonable result.

Info:

Periodical:

Advanced Materials Research (Volumes 250-253)

Edited by:

Guangfan Li, Yong Huang and Chaohe Chen

Pages:

3807-3810

DOI:

10.4028/www.scientific.net/AMR.250-253.3807

Citation:

J. Xu "P-Wave Onset Detection Based on the Spectrograms of the AE Signals", Advanced Materials Research, Vols. 250-253, pp. 3807-3810, 2011

Online since:

May 2011

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Price:

$35.00

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