Published June 26, 2019 | Version v1
Dataset Restricted

Dataset for Leakage Detection Index method

Creators

  • 1. Graduate Research Assistant, Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634; E-mail:hshukla@clemson.edu
  • 2. S. E. Liles, Jr. Distinguished Associate Professor, Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634; E-mail:kpiratl@clemson.edu
  • 3. Harry and Arlene Schell Professor, Head of the Department of Architectural Engineering, The Pennsylvania State University, State College, PA 16801; E-mail:sez@psu.edu

Description

Leakage detection index (LDI) technique is used to determine the presence of leakage through a temporal comparison of the cross-spectral density (CSD) of pipeline acceleration response measured at multiple locations along the pipeline length. 

Notes

This dataset is used to test the leakage detection index method on the buried pipeline. The codes used to analyze this dataset are available on Github.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

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This dataset can only be used to reproduce the results presented in Shukla, H., Piratla,  K.  R,  and Atamturktur, S., (2019) “Evaluation of the Influence of Soil Backfill on Vibration-based Pipeline Leakage Detection”, ASCE Journal of Pipelines Systems Engineering and Practice (In Print). This dataset should not be used for any other purpose. 

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Additional details

Funding

CyberSEES: Type 1: Enabling Sustainable Water Supplies Through Self-Powered Sensor-Based Monitoring 1539536
U.S. National Science Foundation