We’ve got the research to prove it
Working closely with researchers at the University of Waterloo, we have refined our ability to detect anomalies within water distribution systems. Why does this matter? These anomalies are often indicative of changes that are associated with leaking pipes.
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
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
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.
Roya A. Cody, Pampa Dey, and Sriram Narasimhan (2020), Journal Pipeline Systems Engineering and Practice
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
Cody, Roya; Narasimhan, Sriram; Tolson, Bryan (2017): CCWI2017: F47 ‘ONE-CLASS SVM – LEAK DETECTION IN WATER DISTRIBUTION SYSTEMS’. The University of Sheffield. Journal contribution.