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The Local Maxima Method for Enhancement of Time-Frequency Map

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Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

In this paper a new method of failure detection in rotating machinery is presented. It is based on a vibration time series analysis. A pure vibration signal is decomposed via the short-time Fourier transform (STFT) and new time series for each frequency bin are processed using novel approach called local maxima method. We search for local maxima because they appear in the signal if local damage in bearings or gearbox exists. Due to random character of obtained time series, each maximum occurrence must be checked for its significance. If there are time points for which the average number of local maxima is significantly higher than for the others, then the machine is suspected of being damaged. For healthy condition machinery, the vector of average number of maxima for each time point should not have outliers. The main attention is concentrated on the proper choice of required local maxima significance. The method is illustrated by analysis of very noisy both real and simulated signals. Also possible generalizations of this method are presented.

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Acknowledgments

This work is partially supported by the statutory grant No. S20096 (J. Obuchowski and R. Zimroz).

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Authors and Affiliations

  1. Diagnostics and Vibro-Acoustics Science Laboratory, Wroclaw University of Technology, Na Grobli 15, 50-421, Wroclaw, Poland

    Jakub Obuchowski & Radoslaw Zimroz

  2. Hugo Steinhaus Center, Institute of Mathematics and Computer Science, Wroclaw University of Technology, 50-370, Wroclaw, Poland

    Agnieszka Wyłomańska

Authors
  1. Jakub Obuchowski
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  2. Agnieszka Wyłomańska
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  3. Radoslaw Zimroz
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Corresponding author

Correspondence to Jakub Obuchowski .

Editor information

Editors and Affiliations

  1. Engineering Department, University of Ferrara, Ferrara, Italy

    Giorgio Dalpiaz

  2. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Riccardo Rubini

  3. Engineering Department, University of Ferrara, Ferrara, Italy

    Gianluca D'Elia

  4. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Marco Cocconcelli

  5. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari

  6. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Radoslaw Zimroz

  7. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Walter Bartelmus

  8. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Mohamed Haddar

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Obuchowski, J., Wyłomańska, A., Zimroz, R. (2014). The Local Maxima Method for Enhancement of Time-Frequency Map. In: Dalpiaz, G., et al. Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39348-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-39348-8_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39347-1

  • Online ISBN: 978-3-642-39348-8

  • eBook Packages: EngineeringEngineering (R0)

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