Wavelet analysis of rock ultrasonic testing signals

Xiaochun Zhang; Jing Li

doi:10.1117/12.839352

25 August 2009 Wavelet analysis of rock ultrasonic testing signals

Xiaochun Zhang, Jing Li

Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73755P (2009) https://doi.org/10.1117/12.839352
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China

Abstract

Testing signals in rock based on wavelet transform is analysis, acquiring structure and physics mechanic characteristic of rock. Testing signals is scattered and quantitative analysis. Based on wavelet transform multiresolution analysis, inceptspectrum is acquired. Using relationship between wavelet transform modulus maxima and singular point, it can determine location of signal singular point and singular exponent of singular signal, the signal singular point location can be analyzed, the local singularity is described by Lipschitz index. The results indicate that beneficial information in testing signal is sufficient used. Wavelet transform can analysis the signal elements at certain frequency band and time section, which has good time frequency localization and can seize character of instantaneous changing signals accurately and focus any details of signal for frequency through gradually meticulous sampling step of time field and frequency field. Ultrasonic testing signals of different characteristic rock have inconspicuous distinction, whose wavelet transform has different. These differences are cause of structure, so wavelet transform spectrum reflects rock integrity, for example, joints and cranny of rock. The changing focus character of wavelet transformation is particular in local analysis and singular analysis.

Citation Download Citation

Xiaochun Zhang and Jing Li "Wavelet analysis of rock ultrasonic testing signals", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73755P (25 August 2009); https://doi.org/10.1117/12.839352

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