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Robust Fragmentation of Vibration Signals for Comparative Analysis in Signal Validation

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Condition Monitoring of Machinery in Non-Stationary Operations

Abstract

The paper illustrates selected aspects of robust vibration signal fragmentation. Such fragmentation enables a comparison of vibration signal fragments, which gives additional information about a signal to its frequency contents. In particular, the paper illustrates how signal fragmentation followed by fragments’ comparison may serve as an additional tool in data preprocessing, namely continuous selection of most suitable vibration data and rejection data with prohibited level of vibration level fluctuation. Presented techniques are especially applicable as a part of condition monitoring of machinery in non-stationary operational conditions.

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References

  1. Buscarello, R.T.: Practical Solutions to Machinery and Maintenance Vibration Problems, Lakewood, Colorado (1979)

    Google Scholar 

  2. Adams, M.L.: Rotating Machinery Vibration - From Analysis to Troubleshooting. Marcel Dekker, New York (2001)

    Google Scholar 

  3. Barszcz, T., Jabłoński, A.: A novel method for the optimal band selec-tion for vibration signal demodulation and comparison with the Kurtogram. Mechanical Systems and Signal Processing 25(1), 431–451 (2011)

    Article  Google Scholar 

  4. Boustany, R., Antoni, J.: Blind extraction of a cyclostationary signal us-ing reduced-rank cyclic regression-A unifying approach. Mechanical Systems and Signal Processing 22(3), 520–541 (2008)

    Article  Google Scholar 

  5. Steingröver, K., Dalhoff, P.: Richtlinien für die Zertifizierung von Con-dition Monitoring Systemen für Windenergieanlagen, Vorschriften und Richtlinien. Selbstverlag Germanischer Lloyd, Germany (2007) (in German)

    Google Scholar 

  6. Gellermann, T.: Requirements for Condition Monitoring Systems for Wind Turbines. AZT Expertentage, Allianz (2003)

    Google Scholar 

  7. Todd, M., et al.: The design of a decision support system for the vibration monitoring of turbine generators. In: Proceedings of 39th International Universities Power Engineering Conference - Conference , vol. 1, pp. 433–437 (2004)

    Google Scholar 

  8. Urbanek, J., et al.: Comparison of amplitude based and phase based methods for speed tracking in application to wind turbines. Metrology and Measurement Systems 18(2), 295–304 (2011)

    Article  Google Scholar 

  9. Jabłoński, A., Barszcz, T., Bielecka, M.: Automatic validation of vibration signals in wind farm distributed monitoring systems. Measurement: Journal of the International Measurement Confederation 44(10), 1954–1967 (2011)

    Google Scholar 

  10. Antoni, J., et al.: Cyclostationary modelling of rotating machine vibra-tion signals. Mechanical Systems and Signal Processing 18(6), 1285–1314 (2004)

    Article  Google Scholar 

  11. Angrisani, L., Daponte, P., D’Apuzzo, M.: A method for the automatic detection and measurement of transients – part I: the measurement method. Measurement 25(1), 19–30 (1999)

    Article  Google Scholar 

  12. Angrisani, L., Daponte, P., D’Apuzzo, M.: A method for the automatic detection and measurement of transients – part II: applications. Measurement 25(1), 31–40 (1999)

    Article  Google Scholar 

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Correspondence to Adam Jablonski .

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Jablonski, A., Barszcz, T. (2012). Robust Fragmentation of Vibration Signals for Comparative Analysis in Signal Validation. In: Fakhfakh, T., Bartelmus, W., Chaari, F., Zimroz, R., Haddar, M. (eds) Condition Monitoring of Machinery in Non-Stationary Operations. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28768-8_47

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  • DOI: https://doi.org/10.1007/978-3-642-28768-8_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28767-1

  • Online ISBN: 978-3-642-28768-8

  • eBook Packages: EngineeringEngineering (R0)

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