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Detecting and Localizing Leakage Hotspots in Water Distribution Networks via Regularization of an Inverse Problem: An Application to the Battle of Leakage Detection and Isolation Methods 2020 Competition

Blocher, Caroline; Pecci, Filippo; Jara Arriagada, Carlos; Stoianov, Ivan


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3921800", 
  "title": "Detecting and Localizing Leakage Hotspots in Water Distribution Networks via Regularization of an Inverse Problem: An Application to the Battle of Leakage Detection and Isolation Methods 2020 Competition", 
  "issued": {
    "date-parts": [
      [
        2020, 
        6, 
        29
      ]
    ]
  }, 
  "abstract": "<p>The application of a model-based leak localization method on the data set provided for the Battle of Leakage Detection and Isolation Methods 2020 is investigated. First, an analysis of flow residuals is used to detect a possible leak event which is then confirmed or rejected by the model-based leak localization. A prior clustering of daily flow profiles results in the identification of possible leak days, and leak-free days, in the entire data set.</p>", 
  "author": [
    {
      "family": "Blocher, Caroline"
    }, 
    {
      "family": "Pecci, Filippo"
    }, 
    {
      "family": "Jara Arriagada, Carlos"
    }, 
    {
      "family": "Stoianov, Ivan"
    }
  ], 
  "note": "The project was co-funded by Cla-Val UK Ltd", 
  "type": "article", 
  "id": "3921800"
}
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