Assessing the accuracy of TDR-based water leak detection system

Abstract The use of TDR system to detect leakage locations in underground pipes has been developed in recent years. In this system, a bi-wire is installed in parallel with the underground pipes and is considered as a TDR sensor. This approach greatly covers the limitations arisen with using the traditional method of acoustic leak positioning. TDR based leak detection method is relatively accurate when the TDR sensor is in contact with water in just one point. Researchers have been working to improve the accuracy of this method in recent years. In this study, the ability of TDR method was evaluated in terms of the appearance of multi leakage points simultaneously. For this purpose, several laboratory tests were conducted. In these tests in order to simulate leakage points, the TDR sensor was put in contact with water at some points, then the number and the dimension of the simulated leakage points were gradually increased. The results showed that with the increase in the number and dimension of the leakage points, the error rate of the TDR-based water leak detection system increases. The authors tried, according to the results obtained from the laboratory tests, to develop a method to improve the accuracy of the TDR-based leak detection systems. To do that, they defined a few reference points on the TDR sensor. These points were created via increasing the distance between two conductors of TDR sensor and were easily identifiable in the TDR waveform. The tests were repeated again using the TDR sensor having reference points. In order to calculate the exact distance of the leakage point, the authors developed an equation in accordance to the reference points. A comparison between the results obtained from both tests (with and without reference points) showed that using the method and equation developed by the authors can significantly improve the accuracy of positioning the leakage points.

[1]  Luca Catarinucci,et al.  Enhanced reflectometry measurements of permittivities and levels in layered petrochemical liquids using an “in-situ” coaxial probe , 2009 .

[2]  A. Thomsen,et al.  Application of TDR to water level measurement , 2000 .

[3]  Luca Catarinucci,et al.  A frequency-domain method for extending TDR performance in quality determination of fluids , 2007 .

[4]  Kevin R. Wheeler,et al.  A Model-Based Probabilistic Inversion Framework for Characterizing Wire Fault Detection Using TDR , 2011, IEEE Transactions on Instrumentation and Measurement.

[5]  Kevin M. O'Connor,et al.  GeoMeasurements by Pulsing TDR Cables and Probes , 1999 .

[6]  R. Nozaki,et al.  Broadband complex permittivity measurements by time-domain spectroscopy , 1990 .

[7]  Luca Catarinucci,et al.  A Combined TD–FD Method for Enhanced Reflectometry Measurements in Liquid Quality Monitoring , 2009, IEEE Transactions on Instrumentation and Measurement.

[8]  Giuseppina Monti,et al.  Accuracy improvement in the TDR-based localization of water leaks , 2016 .

[9]  Emanuele Piuzzi,et al.  Quality and anti-adulteration control of vegetable oils through microwave dielectric spectroscopy , 2010 .

[10]  Stephen A. Dyer,et al.  Survey of instrumentation and measurement , 2001 .

[11]  Raffaele Persico,et al.  Time domain reflectometry, ground penetrating radar and electrical resistivity tomography: A comparative analysis of alternative approaches for leak detection in underground pipes , 2014 .

[12]  N. E. Hager Broadband time‐domain‐reflectometry dielectric spectroscopy using variable‐time‐scale sampling , 1994 .

[13]  E. Piuzzi,et al.  Dielectric Spectroscopy of Liquids Through a Combined Approach: Evaluation of the Metrological Performance and Feasibility Study on Vegetable Oils , 2009, IEEE Sensors Journal.

[14]  Gholamreza Moradi,et al.  MEASURING THE PERMITTIVITY OF DIELECTRIC MATERIALS USING STDR APPROACH , 2007 .

[15]  A. Criminisi,et al.  Leak Analysis in Pipeline Systems by Means of Optimal Valve Regulation , 1999 .

[16]  Emanuele Piuzzi,et al.  Classification and adulteration control of vegetable oils based on microwave reflectometry analysis , 2012 .

[17]  Alex Wang,et al.  Detecting leaks in plastic pipes , 2000 .

[18]  Andrea Cataldo,et al.  EXPERIMENTAL VALIDATION OF A TDR-BASED SYSTEM FOR MEASURING LEAK DISTANCES IN BURIED METAL PIPES , 2012 .

[19]  J. L. Arrúe,et al.  TDR application for automated water level measurement from Mariotte reservoirs in tension disc infiltrometers , 2004 .

[20]  Helena M. Ramos,et al.  Case Studies of Leak Detection and Location in Water Pipe Systems by Inverse Transient Analysis , 2010 .

[21]  C. Furse,et al.  The invisible fray: a critical analysis of the use of reflectometry for fray location , 2006, IEEE Sensors Journal.

[22]  Luciano Tarricone,et al.  A Noninvasive Resonance-Based Method for Moisture Content Evaluation Through Microstrip Antennas , 2009, IEEE Transactions on Instrumentation and Measurement.

[23]  Aime Lay-Ekuakille,et al.  Spectral analysis of leak detection in a zigzag pipeline: A filter diagonalization method-based algorithm application , 2009 .