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  1. Home
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Browsing by Author "BOUZID, Soumia"

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    Diagnostic et contrôle des systèmes de distribution de l’eau potable
    (Université Badji Mokhtar Annaba, 2024) BOUZID, Soumia
    The sensors measuring process variables are important to the success of any diagnosis technique. This thesis describes a method for detecting and diagnosing sensor problems using a Bottleneck Neural Network (BNN). To detect and isolate sensor problems in drinking water distribution systems (DWDS), the BNN technique is employed as a statistical process control tool. This method has been validated in simulation on a nonlinear system: a quadruple tank and a real-world drinking water distribution system. The goal of this study is to make a contribution to the supervision of a DWDS utilizing the Neural Network diagnosis approach. With the increased demand for water owing to population expansion, the approval of new technologies to ensure water quality at a lesser cost is critical.

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