RESEARCH

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 with our hydrant.AI pressure, temperature, and leak detection solution. Why does this matter? These anomalies are often indicative of changes that are associated with leaking pipes.

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.