Identyfikatory
Warianty tytułu
Funkcja korelacji wzajemnej w identyfikacji wad head checking szyn kolejowych
Języki publikacji
Abstrakty
The cross-correlation function has been applied to the study of the similarity of the two functions. One of these functions is known and represents a defect type HC (Head Checking) in the railway rail. The second function is unknown and based on cross-correlation function of both functions specifies the parameters of the similarities. These functions correspond to defects whose images have been determined using laser scatterometry method. FFT method has been used to calculate these functions.
Zastosowano funkcję korelacji wzajemnej do badania podobieństwa dwóch funkcji. Jedną z tych funkcji jest znana i stanowi opis wzorca wady head checking (HC) w szynie kolejowej. Druga funkcja jest nieznana. Na podstawie funkcji korelacji wzajemnej obu tych funkcji, określa się parametry ich podobieństwa. Funkcje te reprezentują obrazy wyznaczone doświadczalnie, metodą skaterometrii laserowej. W obliczeniach wykorzystano szybką transformatę FFT.
Czasopismo
Rocznik
Tom
Strony
65--73
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- University of Economics and Innovation in Lublin, Faculty of Transport and Computer Science
autor
- Rzeszow University of Technology, Department of Management
autor
- Sunnco KS
Bibliografia
- [1] Bass FG, Fuks IM. Wave scattering from statistically rough surfaces. Pergamon Press Ltd., Oxford, 1979.
- [2] Bojarczak P. Visual algorithms for automatic detection of squat flaws in railway rails. Insight - Non-Destructive Testing and Condition Monitoring The Journal of The British Institute of NonDestructive Testing, 2013; 6: 353-359.
- [3] Bojarczak P, Lesiak P. SVM based classification method of railway’s defects. Measurement Automation and Monitoring 2007; 12: 15-17.
- [4] Dollevoet, RPBJ. Design of an anti-head checking profile based on stress relief. PhD Thesis, University of Twente, 2010; 151.
- [5] Lesiak P, Szumiata T, Wlazło M. Laser scatterometry for detection of squat defects in railway rails. Archives of Transport, 2015; 33(1): 47-56.
- [6] Lesiak P, Bojarczak P. Image analysis and processing in chosen nondestructive. Monography, Maintenance Problems, ITE - PIB, Radom 2012; 185. Polish.
- [7] Lesiak P, Bojarczak P. Application of wavelets and fuzzy sets to the detection of head - checking defects in railway rails. Transport Systems Telematics, 10th Conference, TST 2010. Communications in Computer and information Science 104, Springer 2010; 327-334.
- [8] Lesiak P, Migdal M. Cluster analysis of head checking flaws in railway rails subjected to ultrasound diagnostics. Archives of Transport, 2009; 21 (3-4): 51-66.
- [9] Lesiak P. Diagnostic sensitivity of ultrasonic mobile flaw detection of head checking type flaws in railway rails. Diagnostyka, 2008; 2(46): 37-40.
- [10] Lesiak P. Diagnostic technology of contact-stress flaws such as head checking in railway rails. Technical University of Radom, Monograph 2008; 121: 187-198.
- [11] Ogilvy JA. Theory of wave scattering from random rough surfaces. Adam Hilger, Bristol, Philadelphia and New York, 1991.
- [12] Popović Z, Brajović L, Lazarević L, Milosavljević L. Rail defects head checking on the Serbian railways. Technički Vjesnik, 2014; 21(1): 147-153.
- [13] Popović Z, Puzavac L, Lazarević L. Rail defects due to rolling contact fatigue. Building Materials and Structures, 2011; 54 (2): 17-30.
- [14] Rolling Contact Fatigue in Rails; a Guide to Current Understanding and Practice, Rail-track PLC, Guidelines: RT/PWG/001, 2001;1.
- [15] Sokołowski A, Więcek T. Consequences of sampling an image and Fourier planes in a numerical light propagation model based on the Helmholtz-Kirchhoff approximation. II. Comparison between two numerical algorithms, JOSA A, 2010; 27(7): 1688-1693.
- [16] Vander Lugt A. Optical signal processing. Wiley, New Jersey, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-15d86806-cf0e-4883-ac1f-a11fc663dac6