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Application of a support vector machine algorithm to the safety precaution technique of medium-low pressure gas regulators

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Abstract

In the gas pipeline system, safe operation of a gas regulator determines the stability of the fuel gas supply, and the medium-low pressure gas regulator of the safety precaution system is not perfect at the present stage in the Beijing Gas Group; therefore, safety precaution technique optimization has important social and economic significance. In this paper, according to the running status of the medium-low pressure gas regulator in the SCADA system, a new method for gas regulator safety precaution based on the support vector machine (SVM) is presented. This method takes the gas regulator outlet pressure data as input variables of the SVM model, the fault categories and degree as output variables, which will effectively enhance the precaution accuracy as well as save significant manpower and material resources.

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Acknowledgments

This paper was supported by Science and technology project of Beijing in 2015 from Beijing Municipal Science & Technology Commission.

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Authors and Affiliations

  1. BeijingUniversity of Civil Engineering and Architecture, Beijing, 100044, China

    Xuejun Hao & Xaioran An

  2. Beijing Gas Group Co., Ltd, Beijing, 100035, China

    Bo Wu & Shaoping He

Authors
  1. Xuejun Hao
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  2. Xaioran An
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  3. Bo Wu
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  4. Shaoping He
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Corresponding author

Correspondence to Xuejun Hao.

Additional information

This research was supported by Science and technology project of Beijing from Beijing Municipal Science & Technology Commission.

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Hao, X., An, X., Wu, B. et al. Application of a support vector machine algorithm to the safety precaution technique of medium-low pressure gas regulators. J. Therm. Sci. 27, 74–77 (2018). https://doi.org/10.1007/s11630-018-0986-3

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  • DOI: https://doi.org/10.1007/s11630-018-0986-3

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