THE METHODS OF MULTI-SITE DETECTION OF THE SOURCE OF ACOUSTIC NOISE BY INCOMPLETE AND NOISY DATA
Keywords:
segment-fanned Radon transformations, tomographic signal processingAbstract
The methods of detection of acoustic noise signals generated at the expiration of a fluid through a defect of a pipeline under pressure. The fundamental difference of this method is to refine the model of useful and interfering signals, such as data loss and noise. The results of theoretical analysis of the detection method and the coordinate measuring acoustic source are represented. For efficient detection and location of breaks in pipelines under the ground or under water, has developed a computerized system for remote detection methods with multi site tomographic detection on incomplete and noisy data. The detector-meter circuit, and results of the qualitative analysis of the time characteristics are shown.
References
Gabor T Herman. Image Reconstruction from Projections: Fundamentals of Computerized Tomography. –New York: Academic Press, 2010. –297 pp.
Ponomarenko O., Bulakovska A. Specifics of Application Fan Radon Transform for Searching Gas Escapes Through Pipelines’ Holes // Advanced Computer Systems and Networks: Design and Application. –Proc. Of the 6thInternational Conf. ACSN-2013,Lviv, Ukraine, Sept. 16 –18, 2013. –pp. 165 –166.
Tikhonov А.N. Mathematic Problems of Computer Tomography. / Tikhonov А.N., Arsenin V.J, Timonov A.A. –Moscow.: Science, 1987. –160 pp.
Beran M.J. Theory of partial coherence / M.J. Beran, G.B. Parrent. –Prentice-Hall, Englewood Cliffs, N.J., 1964. –193 pp.
Helgason S. Integral Geometry and Radon Transforms. –Springer New York Dordrecht Heidelberg London, 2010. –316 pp.
Zverev V. A. Coherence of acoustic waves in the ocean // V.A. Zverev, V.A. Lazarev, V.N. Fokin, G.A. Sharonov –Acoustical Physics. 1993. vol. 39. issue. 5. -pp. 834 -840.
Guiguang Ding, Yuchen Guo, Kai Chen, Chaoqun Chu, Jungong Han, Qionghai Dai.Deep Confidence Network for Robust Image Classification IEEE Trans. Image Proc. 2019.Vol. 28, Issue 8. –pp.3752 –3765.
Grootboom L. L., & Wilkinson A. J. Fine resolution (1.35 cm) ultra wideband radar tomographic imaging using an 8.5 GHzvector network analyzer and a rotating pedestal. 2015 IEEE Radar Conference.2015.pp. 15 –22.
Zhang H, Wang J, Zeng D, Tao X, Ma J. Regularization strategies in statistical image reconstruction of low-dose x-ray CT: A review. MedPhys. 2018 pp. 886 –907. https://doi.org/ 10.1002/mp.13123.
Shinohara H, Hashimoto T. Implementation of Statistically-Based Image Reconstruction Algorithms for CT and Numerical Evaluation of Image Quality. Japanese Journal of Medical Physics. 2018. Vol. 38 No. 2: pp. 48 –57. https://doi.org/10.11323/jjmp.38.2_48.
Graff C. G. and Sidky E. Y. Compressive sensing in medical imaging. Appl. Optics. 2015. 54.8. pp. 23–44. https://doi.org/10.1364/AO.54.000C23
Lin Qingyang, Matthew Andrew, William Thompson, Martin J.Blunt, BrankoBijeljic. Optimization of image qualityand acquisition time for lab-based X-ray microtomography using an iterative reconstruction algorithmAdvances in Water Resources. 2018. Vol. 115, pp. 112–124.https://doi.org//10.1016/j.advwatres.2018.03.007
Bates R. H. T. Image Restoration and Reconstruction. / R. H. T. Bates, M. J. McDonnell –Oxford University Press, 1989. –304 pp.
Vinogradov N.A. Applying the principles of reconstructive computerized tomography in multi-site radars and synthesis algorithms of digital information processing // Abstracts VI All-Union Conference "Holography-90." -18 -20 September 1990 -Vitebsk. -pp. 23 -26.
Vinogradov, N.A. Manual on devices of digital information processing / N.A. Vinogradov, V.N. Yakovlev, V.V. Voskresensky, etc .: Ed. V.N. Yakovlev. -K.: Technology publishers, 1988. -415 pp.
Marple L.S. Digital Spectral Analysis: With Applications (Prentice-Hall Series inSignal Processing) Prentice Hall, Inc., Upper Saddle River, NJ, 1987. –492 PP.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
CC BY-ND
A work licensed in this way allows the following:
1. The freedom to use and perform the work: The licensee must be allowed to make any use, private or public, of the work.
2. The freedom to study the work and apply the information: The licensee must be allowed to examine the work and to use the knowledge gained from the work in any way. The license may not, for example, restrict "reverse engineering."
2. The freedom to redistribute copies: Copies may be sold, swapped or given away for free, in the same form as the original.
