Improving data for the asset management of the water supply network of the Walloon Water Company ; Améliorer les données pour la gestion patrimoniale du réseau d'adduction d'eau de la Société wallonne des Eaux
International audience ; Using pipe failure prediction models (such as the one embedded in the Casses software) typically requires the complete knowledge of each pipe’s characteristics and maintenance history (repairs, renewals). This may involve data manipulation, and sometimes data imputation. In this article, we show examples of data manipulations that were designed (using the programming language R) to help SWDE further develop its infrastructure asset management. Three problems are addressed in the case of SWDE: i) Detecting the underlying database structure in the various files and makin... Mehr ...
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Dokumenttyp: | conferenceObject |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
HAL CCSD
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Schlagwörter: | Drinking water networks / Statistical modelling / Data processing / Break prediction models / Water infrastructure asset management / Réseau d'eau potable / Gestion patrimoniale des infrastructures liées à l'eau / Traitement de Données / Modélisation statistique / modèles de prédiction des défaillances / [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] / [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26905199 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hal.inrae.fr/hal-04314031 |