A hybrid model-based method for leak detection in large scale water distribution networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-020-02233-2.pdf
Reference34 articles.
1. (2017) Hazen Williams formula for use in fire sprinkler systems. https://www.canutesoft.com/Hydraulic-calculation-for-fire-protection-engineers/the-hazen-williams-formula-for-use-in-fire-sprinkler-systems.html. Accessed 26 Sep 2017
2. (2020) Big data helpen slim waterleidingnetwerk | Waterbedrijf Vitens. https://www.vitens.com/pers-en-nieuws/nieuwsarchief/persberichten/big-data-helpen-slim-waterleidingnetwerk. Accessed 28 May 2020
3. Adedeji KB, Hamam Y, Abe BT, Abu-Mahfouz AM (2017) Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: an overview. IEEE Access 5:20272–20285. https://doi.org/10.1109/ACCESS.2017.2752802
4. Adegboye MA, Fung WK, Karnik A (2019) Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches. Sensors (Switz) 19(11):2548. https://doi.org/10.3390/s19112548
5. Al-Khomairi A (2008) Leak detection in long pipelines using the least squares method Leak detection in long pipelines using the least squares method Détection de fuite dans de longues canalisations en utilisant la méthode des moindres carrés. J Hydraul Res 463(3):392–401. https://doi.org/10.3826/jhr.2008.3191
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