Scalar and vector time series methods for vibration based damage diagnosis in a scale aircraft skeleton structure

• Autorzy: Kopsaftopoulos F. P. , Fassois S. D

Warianty tytułu

PL

Skalarne i wektorowe szeregi czasowe w diagnostyce uszkodzeń opartej na analizie drgań na przykładzie modelu szkieletu samolotu

• Języki publikacji: EN

Abstrakty

EN

A comparative assessment of several scalar and vector statistical time series methods for vibration based Structural Health Monitoring (SHM) is presented via their application to a laboratory scale aircraft skeleton structure in which different damage scenarios correspond to the loosening of different bolts. A concise overview of scalar and vector methods, that is methods using scalar or vector signals, statistics, and corresponding models, is presented. The methods are further classified as nonparametric or parametric and response-only or excitation-response. The effectiveness of the methods for both damage detection and identification is assessed via various test cases corresponding to different damage scenarios. The results of the study reveal various facets of the methods and confirm the global damage diagnosis capability and the effectiveness of both scalar and vector statistical time series methods for SHM.

PL

W pracy zawarto analizę porównawczą kilku skalarnych i wektorowych statystycznych szeregów czasowych stosowanych w technikach monitorowania stanu konstrukcji (SHM) na podstawie ich skuteczności w zastosowaniu do wykrywania uszkodzeń szkieletowej struktury laboratoryjnego modelu samolotu dla różnych scenariuszy uszkodzeń wywołanych poluzowaniem połączeń śrubowych. Zaprezentowano krótki przegląd skalarnych i wektorowych metod analizy, tj. bazujących na skalarnych i wektorowych sygnałach i statystykach, oraz odpowiadające im modele. Metody te sklasyfikowano jako nieparametryczne i parametryczne oraz oparte wyłącznie na informacji o odpowiedzi dynamicznej układu lub relacji pomiędzy wymuszeniem i odpowiedzią. Efektywność rozważanych metod oceniono na podstawie kilku eksperymentalnych przypadków badawczych odpowiadających różnym scenariuszom uszkodzeń modelu. Wyniki badań ujawniły różne aspekty zastosowanych technik analizy i potwierdziły przydatność skalarnych i wektorowych szeregów czasowych w diagnostyce i monitorowaniu stanu konstrukcji (SHM).

Słowa kluczowe

EN

structural health monitoring (SHM); damage detection; damage identification

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2011
• Tom: Vol. 49 nr 3
• Strony: 727--756
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Kopsaftopoulos F. P.

autor

Fassois S. D

• University of Patras, Department of Mechanical and Aeronautical Engineering, Patras, Greece,

Bibliografia

• 1. Balmes E., Wright J.R., 1997, Garteur group on ground vibration testing – results from the test of a single structure by 12 laboratories in Europe, Proceedings of ASME Design Engineering Technical Conferences, Sacramento, U.S.A.
• 2. Basseville M., Mevel L., Goursat M., 2004, Statistical model-based damage detection and localization: subspace-based residuals and damage-to-noise sensitivity ratios, Journal of Sound and Vibration, 275, 769-794
• 3. Box G., Jenkins G., Reinsel G., 1994, Time Series Analysis: Forecasting and Control, third edn, Prentice Hall: Englewood Cliffs, NJ
• 4. Carden E.P., Brownjohn J.M., 2008, ARMA modelled time-series classification for structural health monitoring of civil infrastructure, Mechanical Systems and Signal Processing, 22, 2, 295-314
• 5. Degener M., Hermes M., 1996, Ground vibration test and finite element analysis of the GARTEUR SM-AG19 testbed, Technical Report IB 232-96 J 08, Deutsche Forschungsanstalt f¨ur Aerolastic, G¨ottingen
• 6. Doebling S.W, Farrar C.R., Prime M.B., 1998, A summary review of vibration-based damage identification methods, Shock and Vibration Digest, 30, 2, 91-105
• 7. Fassois S.D., 2001, Parametric identification of vibrating structures, Encyclopedia of Vibration, Academic Press, 673-685
• 8. Fassois S.D., Sakellariou J.S., 2007, Time series methods for fault detection and identification in vibrating structures, The Royal Society – Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 365, 411-448
• 9. Fassois S.D., Sakellariou J.S., 2009, Statistical time series methods for structural health monitoring, [in:] Encyclopedia of Structural Health Monitoring, C. Boller, F.K. Chang and Y. Fujino (Eds.), John Wiley & Sons Ltd., 443-472
• 10. Gao F., Lu Y., 2009, An acceleration residual generation approach for structural damage identification, Journal of Sound and Vibration, 319, 163-181
• 11. Gertler J.J., 1998, Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker
• 12. Ghosh B.K., Sen P.K., Eds., 1991, Handbook of Sequential Analysis, Marcel Dekker, Inc., New York
• 13. Hios J.D., Fassois S.D., 2009, Stochastic identification of temperature effects on the dynamics of a smart composite beam: assessment of multi-model and global model approaches, Smart Materials and Structures, 18, 3, 035011 (15pp)
• 14. Hwang H.Y., Kim C., 2004, Damage detection in structures using a few frequency response measurements, Journal of Sound and Vibration, 270, 1-14
• 15. Kopsaftopoulos F.P., Fassois S.D., 2007, Vibration-based structural damage detection and precise assessment via stochastic functionally pooled models, Key Engineering Materials, 347, 127-132
• 16. Kopsaftopoulos F.P., Fassois S.D., 2010, Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods, Mechanical Systems and Signal Processing, 24, 1977-1997
• 17. Kopsaftopoulos F.P., Fassois S.D., 2011, Statistical time series methods for damage diagnosis in a scale aircraft skeleton structure: loosened bolts damage scenarios, Proc. of the 9th International Conference on Damage Assessment of Structures (DAMAS 2011), University of Oxford, England
• 18. Kopsaftopoulos F.P., Magripis S.G., Amplianitis A.D., Fassois S.D., 2010, Scalar and vector time series methods for vibration based damage diagnosis in an aircraft scale skeleton structure, Proc. of the ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, Istanbul, Turkey
• 19. Liberatore S., Carman G.P., 2004, Power spectral density analysis for damage identification and location, Journal of Sound and Vibration, 274, 3/5, 761-776
• 20. Ljung L., 1999, System Identification: Theory for the User, 2nd edn, Prentice-Hall
• 21. L¨utkepohl H., 2005, New Introduction to Multiple Time Series Analysis, Springer-Verlag Berlin
• 22. Mattson S., Pandit S., 2006, Statistical moments of autoregressive model residuals for damage localization, Mechanical Systems and Signal Processing, 20, 627-645
• 23. Michaelides P.G., Fassois S.D., 2008, Stochastic identification of structural dynamics from multiple experiments – epxerimental variability analysis, Proceedings of the ISMA Conference on Noise and Vibration Engineering, Leuven, Belgium
• 24. Nair K.K., Kiremidjian A.S., Law K.H., 2006, Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure, Journal of Sound and Vibration, 291, 349-368
• 25. Rizos D.D., Fassois S.D., Marioli-Riga Z.P., Karanika A.N., 2008, Vibration-based skin damage statistical detection and restoration assessment in a stiffened aircraft panel, Mechanical Systems and Signal Processing, 22, 315-337
• 26. Sakellariou J.S., Fassois S.D., 2006, Stochastic output error vibrationbased damage detection and assessment in structures under earthquake excitation, Journal of Sound and Vibration, 297, 1048-1067
• 27. Sakellariou J.S., Fassois S.D., 2008, Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method, Mechanical Systems and Signal Processing, 22, 557-573
• 28. Sakellariou J.S., Petsounis K.A., Fassois S.D., 2001, Vibration analysis based on-board fault detection in railway vehicle suspensions: a feasibility study, Proceedings of First National Conference on Recent Advances in Mechanical Engineering, Patras, Greece
• 29. Sohn H., Allen D.W., Worden K., Farrar C.R., 2003, Statistical damage classification using sequential probability ratio tests, Structural Health Monitoring, 2, 1, 57-74
• 30. Sohn H., Farrar C.R., 2001, Damage diagnosis using time series analysis of vibration signals, Smart Materials and Structures, 10, 446-451
• 31. Sohn H., Farrar C.R., Hunter N.F., Worden K., 2001, Structural damage classification using extreme value statistics, Journal of Dynamic Systems, Measurement, and Control, 127, 125-132
• 32. Wald A., 2004, Sequential Analysis, Dover Publications Inc., New York
• 33. Zheng H., Mita A., 2007, Two-stage damage diagnosis based on the distance between ARMA models and pre-whitening filters, Smart Materials and Structures, 16, 1829-1836