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Sensor Placement Strategy for Pipeline Condition Assessment Using Inverse Transient Analysis

Author

Listed:
  • Chi Zhang

    (University of Adelaide)

  • Jinzhe Gong

    (University of Adelaide)

  • Martin F. Lambert

    (University of Adelaide)

  • Angus R. Simpson

    (University of Adelaide)

  • Aaron C. Zecchin

    (University of Adelaide)

Abstract

Inverse transient analysis (ITA) has been recognized as a useful technique for pipeline condition assessment, such as leak detection and pipe wall thickness estimation. The effectiveness and accuracy of the inverse analysis are dependent on the sensor placement design; however, previous research on this topic is limited. This paper investigates how the number and location of pressure sensors affects the identifiability of pipeline parameters in the ITA approach. An analytical analysis demonstrates that infinite pipe parameter combinations can produce almost the same pressure responses at specific observation locations, which means that the identifiability of the pipe parameters will be poor if sensors are installed at these locations. Numerical sensitivity studies and multiple ITA case studies are conducted to investigate the relationship between the sensor locations and the parameter identifiability. It is found that at least three sensors are needed, and given the first two sensors are N reaches apart (i.e. N pipe segments in the inverse model), the third sensor should not be placed at nodes that are separated from any of the first two sensors by an integer multiple of N reaches.

Suggested Citation

  • Chi Zhang & Jinzhe Gong & Martin F. Lambert & Angus R. Simpson & Aaron C. Zecchin, 2019. "Sensor Placement Strategy for Pipeline Condition Assessment Using Inverse Transient Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2761-2774, June.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:8:d:10.1007_s11269-019-02239-2
    DOI: 10.1007/s11269-019-02239-2
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    References listed on IDEAS

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    1. David B. Steffelbauer & Daniela Fuchs-Hanusch, 2016. "Efficient Sensor Placement for Leak Localization Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5517-5533, November.
    2. Sang Hyun Kim, 2018. "Development of Multiple Leakage Detection Method for a Reservoir Pipeline Valve System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2099-2112, April.
    3. Caterina Capponi & Marco Ferrante & Aaron C. Zecchin & Jinzhe Gong, 2017. "Leak Detection in a Branched System by Inverse Transient Analysis with the Admittance Matrix Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4075-4089, October.
    4. Marco Ferrante & Bruno Brunone & Silvia Meniconi & Bryan Karney & Christian Massari, 2014. "Leak Size, Detectability and Test Conditions in Pressurized Pipe Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4583-4598, October.
    5. Ali Haghighi & Helena Ramos, 2012. "Detection of Leakage Freshwater and Friction Factor Calibration in Drinking Networks Using Central Force Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2347-2363, June.
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    Cited by:

    1. Chi Zhang & Martin F. Lambert & Jinzhe Gong & Aaron C. Zecchin & Angus R. Simpson & Mark L. Stephens, 2020. "Bayesian Inverse Transient Analysis for Pipeline Condition Assessment: Parameter Estimation and Uncertainty Quantification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2807-2820, July.

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