Archives of Acoustics, 42, 1, pp. 105–112, 2017
10.1515/aoa-2017-0011

Operational Modal Analysis for Crack Detection in Rotating Blades

Jarosław BEDNARZ
AGH University of Science and Technology
Poland

Vibration analysis has found widespread application for condition monitoring in a variety of applications and industries. With the continual development of cheaper and more powerful processing hardware, such systems have developed from utilizing simple checks on amplitude to those based around sophisticated spectral analysis. The paper presents application of the model based diagnostic method for early detection of faults in rotating machinery. The proposed diagnostics system based on modal analysis methods (OMA and OMAX methods). In the paper the diagnostic system based on such modelling is presented. The proposed system was verified during research on a specialized test rig, which can generate vibration signals.
Keywords: Operational Modal Analysis; rotor dynamics; blade crack diagnostics
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References

Bednarz J., Barszcz T., Uhl T. (2005), Dynamic condition analysis of rotating machinery – a laboratory case study [in Polish], Selected problems of modal analysis of mechanical systems. Publishing House of the Institute for Sustainable Technologies – National Research Institute, Radom, Poland, pp. 144–150.

Cauberghe B. (2004), Applied frequency-domain system identification in the field of experimental and operational modal analysis, Ph.D. Thesis, VUB, Brussel.

Cauberghe B., Guillaume P., Verboven P., Parloo E. (2003), Identification of modal parameters in presence of unmeasured forces and transient effects, Journal of Sound and Vibration, 265, 609–625.

Chen Ch., Mo Ch. (2004), A method for intelligent fault diagnosis of rotating machinery, Digital Signal Processing, 14, 203–217.

Chen Q., Tomlinson G.R. (1994), A new type of time series model for the identification of non-linear dynamical systems, Mechanical System and Signal Processing, 8, 5, 531–549.

Hermans L., Van der Auweraer H., Abdelghani M. (1997), A critical evaluation of modal parameters extraction schemes for output only data, Proceedings of the International Modal Analysis Conference Japan, pp. 682–688.

Hermans L., Van der Auweraer H., Coppens P., Mathieu L. (1996), Modal parameter extraction from in-operation data, 15th IMAC Proceedings, Orlando, Floryda, pp. 531–539.

Heylen W., Lammes S., Sas P. (1993), Modal Analysis Theory and Testing, Katholike Universiteit Leuven, Belgium.

Kurowski P. (2007), Modal-model applications for large energetic machines, Key Engineering Materials, 347, 221–226.

Łączkowski R. (1974), Vibrations of elements of steam turbines [in Polish], Wydawnictwa NaukowoTechniczne, Warsaw, Poland.

Orłowski Z. (2001), Diagnosis in the long term operation of the steam turbine [in Polish], Wydawnictwo Naukowo-Techniczne, Warsaw, Poland.

Peeters B., De Roeck G. (2001), Stochastic system identification for Operational Modal Analysis: a review, Journal of Dynamic Systems, Measurement and Control, 123, 659–667.

Piłat A. (2002), Steering of magnetic levitation systems [in Polish: Sterowanie układami magnetycznej lewitacji], Ph.D. Thesis, Katedra Automatyki AGHUST.

Piłat A. (2004), FEMLab software applied to active magnetic bearing analysis, International Journal of Applied Mathematics and Computer Science, 14, 4, 497– 501.

Pintelton R., Schoukens J. (2001), System Identification: A frequency domain approach, IEEE Press.

Smit W.G., Heyns P.S. (2002), Fan blade damage detection using on-line vibration monitoring, R&D Journal, 18, 3, 77–90.

Stoisser C.M., Audebert S. (2008), A comprehensive theoretical numerical and experimental approach for crack detection in power plant rotating machinery, Mechanical Systems and Signal Processing, 22, 818– 844.

Uhl T., Bogacz M. (2004), Real time modal analysis and its application for damage detection, Proceedings of ISMA Conference, pp. 1066–1076.

Uhl T., Lisowski W., Kurowski P. (2001), In-operation modal analysis and its applications, Wydawnictwo Katedry Robotyki i Dynamiki Maszyn AGH-UST, Cracow, Poland.




DOI: 10.1515/aoa-2017-0011

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