Multicomponent filtering for Leakage detection using bidimensional thermometric data
Résumé
In the problem of leakage detection in dikes based on Distributed Temperature Sensors, different factors influence the acquired temperature. These factors having certain peculiarities in the temporal and spatial domains, the spatial and temporal gradients of the original signal can be used to construct a 3C signal. The information pertaining to the leakages, characterized by high dynamics, is present in all the three components while the information linked to other factors such as existing structures, precipitations, etc. is significant in only two components. This fact can be exploited using vectorial analysis such as vector median filtering. A vector is selected based on the criteria of minimum distance from all other vectors. A thresholding of the filtered signal residue extracts the information uniquely related to the leakages allowing their immediate detection.
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