Water Distribution

Oral

397492 - Integrating high-frequency data analytics and unsteady simulation for transient-based fault characterization

Wednesday, June 6
10:30 AM - 12:00 PM
Location: Lakeshore C
Co-Authors: Lina Sela Perelman, Austin – The University of Texas at Austin; Ehsan Shafiee, Raleigh – Xylem; Zachary Barker, Raleigh – Xylem; Ami Preis, Singapore – Visenti; Michael Allen, Singapore – Visenti; Mudasser Iqbal, Singapore – Visenti

Frequency, accuracy, and timeliness of pressure readings from water distribution systems have increased substantially, thanks to the recent advances in acquisition and communication technologies. Unsteady simulation models for water distribution systems have also matured considerably over the past decade. These advances enable data-driven and simulation-based approaches for fault characterization, each offering trade-offs in accuracy, complexity, and cost. This study aims to integrate the two to leverage the best of both worlds for more accurate and efficient transient-based fault characterization in water distribution systems. This enables the platform to detect and characterize a fault by jointly generating candidate scenarios through sensor data processing and pruning scenarios via unsteady simulation and analysis. This practice joins forward and inverse problem-solving. This integrated platform will be applied and investigated for a real-world utility that is equipped with high-frequency pressure sensors (sampling rate up to 256 Hz).

Amin Rasekh, PhD

Senior R&D Engineer
Xylem

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397492 - Integrating high-frequency data analytics and unsteady simulation for transient-based fault characterization



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