Structural health monitoring is part of a broad topic involving diverse engineering disciplines. Thanks to advances in ICT (information communication technology), in particular, in sensors; nowadays, it is possible to monitor the structural health of diverse infrastructures, and civil constructions. However, in many cases, the efficiency of sensing systems is not pointed out because experts always focus on primary results but not on the accuracy especially for structures located in non-seismic areas. The paper presents analytical description of necessary indicators for expressing uncertainty and accuracy in detecting cracks on water pipelines that cause leakage. The technique we employ here, to process data from magnetic sensors mounted on the pipe, is based on FDM (filter diagonalization technique), capable of yielding promising results in detecting leaks during water flow by processing electrical signals from the aforementioned sensors.

Assessment indicators for expressing accuracy in sensing infrastructure health: Case study of leakage in water pipelines

Lay-Ekuakille A.
;
2018-01-01

Abstract

Structural health monitoring is part of a broad topic involving diverse engineering disciplines. Thanks to advances in ICT (information communication technology), in particular, in sensors; nowadays, it is possible to monitor the structural health of diverse infrastructures, and civil constructions. However, in many cases, the efficiency of sensing systems is not pointed out because experts always focus on primary results but not on the accuracy especially for structures located in non-seismic areas. The paper presents analytical description of necessary indicators for expressing uncertainty and accuracy in detecting cracks on water pipelines that cause leakage. The technique we employ here, to process data from magnetic sensors mounted on the pipe, is based on FDM (filter diagonalization technique), capable of yielding promising results in detecting leaks during water flow by processing electrical signals from the aforementioned sensors.
2018
978-1-5090-6526-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/442691
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