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Surge detection methods using empirical mode decomposition and continuous wavelet transform for a centrifugal compressor

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Abstract

The occurrence of surge in a centrifugal compressor results in large oscillations in pressure and flow. To avoid damaging the compressor because of surge, we develop several surge detection methods in this study. Considering the incipient surge phenomenon, the Empirical mode decomposition (EMD) and the Morlet Continuous wavelet transform (CWT) methods are selected. Both methods are validated through experimental data collected from surge tests conducted on the three-stage Ingersoll-Rand Centac centrifugal compressor at Toyota Motor Manufacturing in Kentucky, USA. For incipient surge detection, the EMD-based method can determine the threshold 1 sec earlier than the Morlet CWT-based method. Therefore, the EMD method can be used to implement the incipient surge detection scheme on the tested centrifugal compressor for safety considerations.

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Authors and Affiliations

  1. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, 102206, China

    Xin Wu, Yibing Liu & Rui Liu

  2. Beijing Energy Investment Corporation, Beijing, 100022, China

    Li Zhao

Authors
  1. Xin Wu
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  2. Yibing Liu
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  3. Rui Liu
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  4. Li Zhao
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Corresponding author

Correspondence to Xin Wu.

Additional information

Xin Wu obtained his B.Sc. and M.Sc. from the University of Science and Technology, Beijing, China in 2002 and 2005, respectively. He obtained his Ph.D. from the Department of Mechanical Engineering, University of Wisconsin, Milwaukee, USA, in 2010. Dr. Wu joined the School of Energy, Power, and Mechanical Engineering of the North China Electric Power University as an assistant professor in 2011. His major research interests are mechanical system diagnostics, prognostics and control.

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Wu, X., Liu, Y., Liu, R. et al. Surge detection methods using empirical mode decomposition and continuous wavelet transform for a centrifugal compressor. J Mech Sci Technol 30, 1533–1536 (2016). https://doi.org/10.1007/s12206-016-0307-2

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  • DOI: https://doi.org/10.1007/s12206-016-0307-2

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