Supplementary data of article Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks

<p>This dataset was generated within the research&nbsp;thesis of Axel Hutomo, under the supervision of Leonardo Alfonso and Ioana Popescu at IHE Delft, and it is published as supplementary data for the article <em>Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks, </em>currently under review.&nbsp;</p> <p>The Excel sheet provides information about the datasets produced to integrate&nbsp;acoustic sensor data and hydraulic&nbsp;model output data, to be used by&nbsp;the Machine Learning model.&nbsp;The acoustic sensor data were obtained by extracting several features in&nbsp;time and frequency domains from each audio file coming from acoustic sensors, whereas hydraulic model data was obtained by modelling these leaks using a pressure-independent analysis.</p> <p>The Python code shows the building of the ANN for leakage modelling prediction, integrating the two datasets above, for different leak rates.</p>