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Leak detection in water distribution systems using Bayesian theory and Fisher’s law

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Abstract

A leak detection method based on Bayesian theory and Fisher’s law was developed for water distribution systems. A hydraulic model was associated with the parameters of leaks (location, extent). The randomness of parameter values was quantified by probability density function and updated by Bayesian theory. Values of the parameters were estimated based on Fisher’s law. The amount of leaks was estimated by back propagation neural network. Based on flow characteristics in water distribution systems, the location of leaks can be estimated. The effectiveness of the proposed method was illustrated by simulated leak data of node pressure head and flow rate of pipelines in a test pipe network, and the leaks were spotted accurately and renovated on time.

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Authors and Affiliations

  1. School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China

    Hongwei Zhang  (张宏伟) & Lijuan Wang  (王丽娟)

  2. School of Civil Engineering, Hebei University of Technology, Tianjin, 300401, China

    Lijuan Wang  (王丽娟)

Authors
  1. Hongwei Zhang  (张宏伟)
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  2. Lijuan Wang  (王丽娟)
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Corresponding author

Correspondence to Hongwei Zhang  (张宏伟).

Additional information

Supported by National Natural Science Foundation of China (No. 50278062 and 50578108), and Science and Technology Innovation Funds Project of Tianjin, China (No. 08FDZDSF03200).

ZHANG Hongwei, born in 1956, male, Dr, Prof.

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Zhang, H., Wang, L. Leak detection in water distribution systems using Bayesian theory and Fisher’s law. Trans. Tianjin Univ. 17, 181–186 (2011). https://doi.org/10.1007/s12209-011-1594-4

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  • DOI: https://doi.org/10.1007/s12209-011-1594-4

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