Cyclostationary Approach for Long Term Vibration Data Analysis

  • Piotr KruczekEmail author
  • Norbert Gomolla
  • Agnieszka Wyłomańska
  • Radosław Zimroz
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 15)


Condition monitoring of the rotating machines plays a key role in their maintenance. It is challenging task, especially in case of machines operating in the varying conditions (e.g. wind turbines, road headers). Typically the spectral analysis is used for the damage detection. Undoubtedly, this method is suitable for simple signals in order to analyse the energy of the signal. The local fault reveals in the vibration as a pulse train with high energy. However, for complex data with many different components and high contamination it can be insufficient to analyse only the envelope spectrum. In order to detect fault in such signals the cyclostationary approach can be applied, which gives a possibility to detect many different sources of faults. In this article the long term data is analysed, in particular there are presented results for the simulated and real case. For each observation the bi-frequency map is computed. It is shown that analysing the modulation frequency we are able to track the development of the damage. The results are compared with the classical spectral approach.


Cyclostationarity Bi-frequency maps Condition monitoring Vibration analysis 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Piotr Kruczek
    • 1
    • 2
    Email author
  • Norbert Gomolla
    • 1
    • 2
  • Agnieszka Wyłomańska
    • 1
    • 2
  • Radosław Zimroz
    • 1
    • 2
  1. 1.KGHM CUPRUM sp. z o.o. Centrum Badawczo-RozwojoweWroclawPoland
  2. 2.DMT GmbH & Co. KGEssenGermany

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