Fault Detection of Pipeline in Water Distribution Network System
Water pipe network is installed underground and once equipped, it is difficult to recognize the state of pipes when the leak or burst happens. Accordingly, post management is often delayed
after the fault occurs. Therefore, the systematic fault management system of water pipe network is required to prevent the accident and
minimize the loss. In this work, we develop online fault detection system of water pipe network using data of pipes such as flow rate
or pressure. The transient model describing water flow in pipelines
is presented and simulated using MATLAB. The fault situations such
as the leak or burst can be also simulated and flow rate or pressure data when the fault happens are collected. Faults are detected using
statistical methods of fast Fourier transform and discrete wavelet transform, and they are compared to find which method shows the
better fault detection performance.
[1] E. B. Wylie, "The Microcomputer and Pipeline Transients", Journal of
Hydraulic Engineering, vol. 109, no. 12, pp. 1723-1739, 1983.
[2] D. Misiunas, Failure Monitoring and Asset Condition Assessment in Water Supply Systems, Lund Univ., 1999.
[3] E.K. Lada, J. C. Lu, and J. R. Wilson, "A Wavelet-Based Procedure for
Process Fault Detection", IEEE Transactions on Semiconductor Manufacturing,
vol. 15, no. 1, pp. 79-90, 2002.
[4] L. Satish, "Short-time Fourier and Wavelet Transforms for Fault Detection
in Power Transformers during Impulse Tests", IEE Proc.-Sci. Meas. Technol., vol. 145, no. 2, pp. 77-84, 1998.
[5] S. Bhunia, K. Roy, and J. Segura, "A Novel Wavelet Transform Based
Transient Current Analysis for Fault Detection and Localization", DAC,
vol. 25, no. 2, pp. 361-366, 2002.
[1] E. B. Wylie, "The Microcomputer and Pipeline Transients", Journal of
Hydraulic Engineering, vol. 109, no. 12, pp. 1723-1739, 1983.
[2] D. Misiunas, Failure Monitoring and Asset Condition Assessment in Water Supply Systems, Lund Univ., 1999.
[3] E.K. Lada, J. C. Lu, and J. R. Wilson, "A Wavelet-Based Procedure for
Process Fault Detection", IEEE Transactions on Semiconductor Manufacturing,
vol. 15, no. 1, pp. 79-90, 2002.
[4] L. Satish, "Short-time Fourier and Wavelet Transforms for Fault Detection
in Power Transformers during Impulse Tests", IEE Proc.-Sci. Meas. Technol., vol. 145, no. 2, pp. 77-84, 1998.
[5] S. Bhunia, K. Roy, and J. Segura, "A Novel Wavelet Transform Based
Transient Current Analysis for Fault Detection and Localization", DAC,
vol. 25, no. 2, pp. 361-366, 2002.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:59424", author = "Shin Je Lee and Go Bong Choi and Jeong Cheol Seo and Jong Min Lee and Gibaek Lee", title = "Fault Detection of Pipeline in Water Distribution Network System", abstract = "Water pipe network is installed underground and once equipped, it is difficult to recognize the state of pipes when the leak or burst happens. Accordingly, post management is often delayed
after the fault occurs. Therefore, the systematic fault management system of water pipe network is required to prevent the accident and
minimize the loss. In this work, we develop online fault detection system of water pipe network using data of pipes such as flow rate
or pressure. The transient model describing water flow in pipelines
is presented and simulated using MATLAB. The fault situations such
as the leak or burst can be also simulated and flow rate or pressure data when the fault happens are collected. Faults are detected using
statistical methods of fast Fourier transform and discrete wavelet transform, and they are compared to find which method shows the
better fault detection performance.", keywords = "fault detection, water pipeline model, fast Fourier transform, discrete wavelet transform.", volume = "6", number = "4", pages = "457-6", }