Pipeline burst detection and location using a continuous monitoring technique
Date
2003
Authors
Misiunas, D.
Vitkovsky, J.
Olsson, G.
Simpson, A.
Lambert, M.
Editors
Maksimovic, C.
Memon, F.
Butler, D.
Memon, F.
Butler, D.
Advisors
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Conference paper
Citation
Advances in water supply management : proceedings of the International Conference on Computing and Control for the Water Industry, 15-17 September 2003, London, UK / Čedo Maksimovic, David Butler, & Fayyaz Ali Memon (eds.): pp.89-96
Statement of Responsibility
D. Misiunas, J. Vítkovský, G. Olsson, A.R. Simpson & M.F. Lambert
Conference Name
International Conference on Computing and Control for the Water Industry (2003 : London, U.K.)
Abstract
Sudden pipe bursts occur in high-pressure water transmission pipelines and water distribution networks. The consequences of these bursts can be very expensive due to the out-age time while the burst pipe is repaired, the cost of repair, and damage to surrounding property and infrastructure. As a result, it is advantageous to minimise the detection and location time after the burst occurs. This paper presents a continuous monitoring approach for the detection and location of pipeline bursts using pressure transients. Previous research has shown the poten-tial of fluid transients for pipeline assessment. A sudden pipe burst creates a negative pressure wave that travels in both directions away from the burst point and is reflected at the pipe boundaries. Using pressure measured at one location, the timing of the initial and reflected burst-induced waves determines the location of the burst. The continuous monitoring technique uses the two-sided cumulative sum (CUSUM) algorithm to detect abrupt changes in the pressure data caused by the pipe break. The sensitivity of the algorithm is tuned such that the normal system/measurement noise does not initiate a false alarm. The continuous monitoring technique is verified using results from a laboratory pipeline. Different burst and measurement locations are tested. The results are promising for burst detection and location in real systems.
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