206
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

The optimal wavelet threshold de-nosing method for acoustic emission signals during the medium strain rate damage process of concrete

ORCID Icon, , , , &
Pages 400-417 | Received 10 Jan 2016, Accepted 09 Aug 2016, Published online: 17 Oct 2016

References

  • Yu JT, Zhao SY, Wang Q. De-nosing of acoustic emission signals based on empirical mode decomposition and wavelet transform. J. Harbin Inst. Technol. 2011;43:88–92.
  • Donoho DL, Johnstone IM. Adapting to unknown smoothness via wavelet shrinkage. J. Am. Stat. Assoc. 1995;90:1200–1224.10.1080/01621459.1995.10476626
  • Donoho DL, Johnstone IM, Kerkyacharian G, et al. Wavelet shrinkage: asymptopia? J. R. Statist. Soc. Ser. B (Method.). 1995;57:301–369.
  • Wang F, Ding ZJ, Zhu Y, et al. Wavelet denoising algorithm based on acoustic emission signal of metal corrosion. J. Hebei Univ. (Nat. Sci. Ed.). 2010;30:580–584.
  • Zhou J, Shuang HJ, Liu LC. Application of wavelet transformation in acoustic emission on signals de-nosing. Comput. Appl. Pet. 2013;1:44–46.
  • Ai YT, Feng YY, Zhou HL. Fault diagnosis of bearing acoustic emission signals based on improved wavelet threshold denoising and lmd. Sci. Technol. Eng. 2014;33:86–92.
  • Zhao K, Deng F, Jin JF, et al. Wavelet analysis of Kaiser signal of rock acoustic emission and its application. Chin. J. Rock Mech. Eng. 2006;2:3854–3588.
  • Liu J, Chen GX. Research on wavelet threshold de-noising methods for acoustic emission signal. J. Shenyang Ligong Univ. 2015;34:12–15.
  • Jia LL, Wang RL. Research of AE characteristic of reinforced concrete structures. Sci. Technol. Eng. 2009;14:4234–4237.
  • Satour A, Montrésor S, Bentahar M, et al. Acoustic emission signal denoising to improve damage analysis in glass fibre-reinforced composites. Nondestr. Test. Eval. 2014;29:65–79.10.1080/10589759.2013.854782
  • He C, Xing JC, Yang QL. Optimal wavelet basis selection for wavelet denoising of structural vibration signal. Appl. Mech. Mater. 2014;578:1059–1063.
  • Wijaya IGPS, Kencanawati NK. Denoising acoustic emission signal using wavelet transforms for determining the micro crack location inside of concrete. Int. J. Technol. 2014;5:259–268.10.14716/ijtech.v5i3
  • Reddy GU, Muralidhar M, Varadarajan S. ECG de-noising using improved thresholding based on wavelet transforms. IJCSNS. 2009;9:221.
  • Sang YF, Wang D, Wu JC. Entropy-based method of choosing the decomposition level in wavelet threshold de-noising. Entropy. 2010;12:1499–1513.10.3390/e12061499
  • Donoho DL, Johnstone JM. Ideal spatial adaptation by wavelet shrinkage. Biometrika. 1994;81:425–455.10.1093/biomet/81.3.425
  • Pu R, Gong P. Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping. Remote Sens. Environ. 2004;91:212–224.10.1016/j.rse.2004.03.006
  • Sun W, Mukherjee R, Stroeve P, et al. A multi-resolution approach for line-edge roughness detection. Microelectron. Eng. 2009;86:340–351.10.1016/j.mee.2008.11.001
  • Kaewpijit S, Moigne JL, El-Ghazawi T. Automatic reduction of hyperspectral imagery using wavelet spectral analysis. IEEE Trans. Geosci. Remote Sensing. 2003;41:863–871.10.1109/TGRS.2003.810712
  • Tao K, Zhu JJ. A hybrid indicator for determining the best decomposition scale of wavelet denoising. Acta Geod. Cartographica Sin. 2012;41:749–755.
  • Piotrkowski R, Castro E, Gallego A. Wavelet power, entropy and bispectrum applied to AE signals for damage identification and evaluation of corroded galvanized steel. Mech. Syst. Signal Process. 2009;23:432–445.10.1016/j.ymssp.2008.05.006
  • Coifman R, Wickerhauser MV. Entropy-based algorithms for best basis selection. IEEE Trans. Inform Theory. 1992;38:713–718.10.1109/18.119732
  • Mallat S. A wavelet tour of signal processing. New York (NY): Academic press; 1999.
  • Duncan MG, Whittaker JW. Acoustic emission calibration instrumentation. IEEE Trans. Instrum. Meas. 1989;38:827–831.10.1109/19.32202
  • Van Hauwaert A, Delannay F, Thimus JF. Cracking behavior of steel fiber reinforced concrete revealed by means of acoustic emission and ultrasonic wave propagation. ACI Mater. J. 1999;96:291–296.
  • Li P, Zheng Y, Zhang Y. Denoising methods of lightning transient electrical signals. High Power Laser Part. Beams. 2007;12:2055–2059.
  • Soni A. Identification of fault location on transmission lines using wavelet threshold. Global J. Multi. Stud. 2014;3:145–149.
  • Chen XX, Wang YJ, Liu L. Deep study on wavelet threshold method for image noise removing. Laser & Infrared. 2012;42:105–110.
  • Wang W, Zhang YT, Ren GQ. Adaptive selection and simulation of optimal decomposition level in threshold de-noising algorithm based on wavelet transform. Chin. J. Sci. Instrum. 2009;3:526–530.
  • Sang YF, Wang D, Wu JC. Entropy-based method of choosing the decomposition level in wavelet threshold de-noising. Entropy. 2010;12:1499–1513.10.3390/e12061499
  • Wu W, Cai PS. Simulation of wavelet denoising based on MATLAB. Inf. Electron. Eng. 2008,03:220–222+229.
  • Wang Y, Chen SJ, Zhao HT, et al. Acoustic emission characteristics of interface between aggregate and mortar under shear loading. Russian J. Nondestr. Testing. 2015;51:497–508.10.1134/S1061830915080094
  • Ohno K, Ohtsu M. Crack classification in concrete based on acoustic emission. Constr. Build. Mater. 2010;24:2339–2346.10.1016/j.conbuildmat.2010.05.004
  • Ni QQ, Iwamoto M. Wavelet transform of acoustic emission signals in failure of model composites. Eng. Fract. Mech. 2002;69:717–728.10.1016/S0013-7944(01)00105-9
  • Lu Y, Li Z. Frequency characteristic analysis on acoustic emission of mortar using cement-based piezoelectric sensors. Smart Struct. Syst. 2011;8:321–341.10.12989/sss.2011.8.3.321

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.