Measurements done for leak detection in pipeline systems and FAIR dataset produced : internship report
Auteur(s) |
R. Jayaraj
Publicatie type | Rapport Deltares
Leaks in water distribution systems create massive impact monetarily and socially. Even if pipelines are regularly maintained, the chances of leaks to be present are not zero. Accurate leak detection and response ensures minimizing of the impacts caused by the leak. This paper provides a dataset which includes measurements done using sensors (absolute pressure sensor, differential pressure sensor, flow meter, temperature sensor, level sensors and wave height meters) with leaks (two plastic taps of different flow coefficients, Kv) being introduced in an existing PVC pipe loop built with various heads. Two experimental setups were used to create the total data set. This dataset is published with the intent of assisting the advance in leak detection research along with digital/machine learning model creation and validation.