Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The wavelet transform seems to be effective tool for signal processing of modal data in the problems of structural damage detection and identification. However, the application of wavelet transform is connected with the occurrence of boundary effect, which may cause wrong conclusion about damage localization. In the following paper the problem of boundary effect was discussed and the methods of its reduction were presented. A comparative study of different approaches of the boundary effect reduction was performed and its results were analyzed.
Czasopismo
Rocznik
Tom
Strony
97--102
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
- Institute of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
Bibliografia
- 1. Rucka M., Widle K.: Crack identification using wavelets on experimental static deflection profiles. “Engineering Structures” 2006, 28, 279 – 288.
- 2. Fan W., Qiao P.: A 2-D continuous wavelet transform of mode shape data for damage detection of plate structures. “International Journal of Solids and Structures” 2009, 46, 4379 – 4395.
- 3. Katunin A.: Damage identification in composite plates using two-dimensional B-spline wavelets. “Mechanical Systems and Signal Processing” 2011, 25, 3153 – 3167.
- 4. Cawley P., Adams R.D.: The location of defects in structures from measurements of natural frequencies, “The Journal of Strain Analysis for Engineering Design” 1979, 14, 49 – 57.
- 5. Loutridis S., Douka E., Trochidis A.: Crack identification in double-cracked beams using wavelet analysis. “Journal of Sound and Vibration” 2004, 277, 1025 – 1039.
- 6. Rucka M., Wilde K.: Application of continuous wavelet transform in vibration based damage detection method for beams and plates. “Journal of Sound and Vibration” 2006, 297, 536 – 550.
- 7. Mallat S.: A theory for multiresolution signal decomposition: the wavelet representation “IEEE Transactions of Pattern Analysis and Machine Intelligence” 1989, 11, 674 – 693.
- 8. Katunin A.: Identification of multiple cracks in composite beams using discrete wavelet transform. “Scientific Problems of Machines Operation and Maintenance” 2010, 45, 41–52.
- 9. Depczynski U., Jetter K., Molt K., Niemöller A.: The fast wavelet transform on compact intervals as a tool in chemometrics II. Boundary effects, denoising and compression. “Chemometrics and Intelligent Laboratory Systems” 1999, 49, 151 – 161.
- 10. Cerná D., Finěk V., Gottfried M., Hübnerová P., Paulusová S., Róža J., Viščur L.: Boundary artifact reduction in wavelet image compression. In: Technical Computing Prague, Prague 2009.
- 11. Loutridis S., Douka E., Hadjileontiadis L.J., Trochidis A.: A two-dimensional wavelet transform for cracks in plates. “Engineering Structures” 2005, 27, 1327 – 1338.
- 12. Cohen A., Daubechies I., Jawerth B., Vial P.: Multiresolution analysis, wavelets and fast algorithms on an interval. “Comptes Tendus de l’Académie des Sciences Paris Série I” 1993, 316, 417 – 421.
- 13. Shui P., Bao Z.: Interval interpolating wavelets with robust boundary filters. “Science in China Series E” 2000, 43, 287 – 296.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-886985b3-2c25-4936-a410-6d2e48c1046d