We’ve got the research to prove it
At DWS, our goal has always been to help utilities find the answers to their toughest challenges. Working closely with researchers at the University of Waterloo and the University of California, Los Angeles, we have refined hydrant.AI’s ability to autonomously deploy and detect anomalies in all types of networks and pipe materials – including PVC.
Active acoustic leak detection and localization in a plastic pipe using time delay estimation
Kafle, Marshal & Fong, Stanley & Narasimhan, Sriram. (2022). Active acoustic leak detection and localization in a plastic pipe using time delay estimation. Applied Acoustics. 187. 108482. 10.1016/j.apacoust.2021.108482.
A field implementation of linear prediction for leak-monitoring in water distribution networks
Roya A. Cody, Sriram Narasimhan, A field implementation of linear prediction for leak-monitoring in water distribution networks, Advanced Engineering Informatics, Volume 45, 2020, 101103, ISSN 1474-0346
Leak detection in water distribution pipes using singular spectrum analysis
Roya Cody, Jinane Harmouche & Sriram Narasimhan (2018) Leak detection in water distribution pipes using singular spectrum analysis, Urban Water Journal, 15:7, 636-644, DOI: 10.1080/1573062X.2018.1532016
Long-Term Monitoring for Leaks in Water Distribution Networks Using Association Rules Mining
J. Harmouche and S. Narasimhan, “Long-Term Monitoring for Leaks in Water Distribution Networks Using Association Rules Mining,” in IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 258-266, Jan. 2020, doi: 10.1109/TII.2019.2911064.
Linear Prediction for Leak Detection in Water Distribution Networks
Roya A. Cody, Pampa Dey, and Sriram Narasimhan (2020), Journal Pipeline Systems Engineering and Practice
Active acoustic leak detection in a pressurized PVC pipe
Marshal Deep Kafle & Sriram Narasimhan (2020) Active acoustic leak detection in a pressurized PVC pipe, Urban Water Journal, 17:4, 315-324, DOI: 10.1080/1573062X.2020.1771381
One-Class SVM – Leak Detection in Water Distribution Systems
Cody, Roya; Narasimhan, Sriram; Tolson, Bryan (2017): CCWI2017: F47 ‘ONE-CLASS SVM – LEAK DETECTION IN WATER DISTRIBUTION SYSTEMS’. The University of Sheffield. Journal contribution.
