Advanced acoustic leak detection in water distribution networks using integrated generative model

Author:

Liu RongshengORCID,Zayed Tarek,Xiao Rui

Funder

Innovation and Technology Fund

Publisher

Elsevier BV

Reference64 articles.

1. Pipe material effect on water network leak detection using a pressure residual vector method;Abdulshaheed;J. Water Resour. Plann. Manag.,2018

2. Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking;Ahmad;Mech. Syst. Signal Process.,2023

3. Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN;Bashir;Energy Rep.,2022

4. Bowles, C., Chen, L., Guerrero, R., Bentley, P., Gunn, R., Hammers, A., Dickie, D.A., Hernández, M.V., Wardlaw, J., Rueckert, D., 2018. Gan augmentation: augmenting training data using Generative Adversarial Networks. arXiv preprint arXiv:1810.10863.

5. On the effects of soil properties on leak noise propagation in plastic water distribution pipes;Brennan;J. Sound Vib.,2018

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