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Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram

  • Industrial and Commercial Application
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Abstract

We present a novel approach to detecting leaking reciprocating compressor valves based on the idea that a leaking valve affects the shape of the pressure-volume diagram (pV diagram). This effect can be observed when the valves are closed. To avoid disturbances due to the load control, we concentrate on the expansion phase, and linearize it using the logarithmic pV diagram. The gradient of the expansion phase serves as an indicator for the fault state of the valve. Since the gradient is also affected by the pressure conditions, both are used as features in our approach. After feature extraction, classification is performed using several established approaches and a one-class classification method based on linearizing the classification boundary and thresholding. The method was validated using real-world data, and the results show high classification accuracy for varying compressor loads and pressure conditions as well as different valve types.

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Acknowledgments

This work has been supported by the Austrian COMET-K2 programme of the Linz Center of Mechatronics (LCM), and was funded by the Austrian federal government and the federal state of Upper Austria.

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Authors and Affiliations

  1. Information Analysis and Fault Diagnostics, Linz Center of Mechatronics GmbH, Linz, Austria

    Kurt Pichler, Markus Pichler & Thomas Buchegger

  2. Department of Knowledge-based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria

    Edwin Lughofer & Erich Peter Klement

  3. Compression Technology, Hoerbiger Service America, Inc., Greenwood Village, CO, USA

    Matthias Huschenbett

Authors
  1. Kurt Pichler
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  2. Edwin Lughofer
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  3. Markus Pichler
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  4. Thomas Buchegger
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  5. Erich Peter Klement
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  6. Matthias Huschenbett
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Correspondence to Kurt Pichler.

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Pichler, K., Lughofer, E., Pichler, M. et al. Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram. Pattern Anal Applic 18, 461–472 (2015). https://doi.org/10.1007/s10044-014-0431-5

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  • DOI: https://doi.org/10.1007/s10044-014-0431-5

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