scholarly journals Leak Detection and Location Based on ISLMD and CNN in a Pipeline

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 30457-30464 ◽  
Author(s):  
Mengfei Zhou ◽  
Zheng Pan ◽  
Yunwen Liu ◽  
Qiang Zhang ◽  
Yijun Cai ◽  
...  
Author(s):  
Marcos Guillen ◽  
Jean F. Dulhoste ◽  
Gildas Besancon ◽  
Ignacio Rubio S. ◽  
Rafael Santos ◽  
...  

2020 ◽  
Vol 11 (3) ◽  
pp. 04020024
Author(s):  
Shaofeng Wang ◽  
Zhihao Chen ◽  
Jianguo Wang ◽  
Hailing Wang ◽  
Chunsheng Ji ◽  
...  

2014 ◽  
Vol 14 (5) ◽  
pp. 795-803 ◽  
Author(s):  
R. Sarrate ◽  
J. Blesa ◽  
F. Nejjari ◽  
J. Quevedo

The performance of a leak detection and location algorithm depends on the set of measurements that are available in the network. This work presents an optimization strategy that maximizes the leak diagnosability performance of the network. The goal is to characterize and determine a sensor configuration that guarantees a maximum degree of diagnosability while the sensor configuration cost satisfies a budgetary constraint. To efficiently handle the complexity of the distribution network an efficient branch and bound search strategy based on a structural model is used. However, in order to reduce even more the size and the complexity of the problem the present work proposes to combine this methodology with clustering techniques. The strategy developed in this work is successfully applied to determine the optimal set of pressure sensors that should be installed in a District Metered Area in the Barcelona water distribution network.


2013 ◽  
Vol 16 (3) ◽  
pp. 649-670 ◽  
Author(s):  
Myrna V. Casillas Ponce ◽  
Luis E. Garza Castañón ◽  
Vicenç Puig Cayuela

In this paper, we propose a new approach for model-based leak detection and location in water distribution networks (WDN), which considers an extended time-horizon analysis of pressure sensitivities. Five different ways of using the leak sensitivity matrix to isolate the leaks are described and compared. The first method is based on the binarization approach. The second, third and fourth methods are based on the comparison of the measured pressure vectors with the leak sensitivity matrix using different metrics: correlation, angle between vectors and Euclidean distance, respectively. The fifth method is based on the least square optimization method. The performance of these methods is compared when applied to two academic small networks (Hanoi and Quebra) widely used in the literature. Finally, the three methods with better performance are applied to a district metering area of the Barcelona WDN using real data.


1997 ◽  
Vol 1997 (1) ◽  
pp. 379-381 ◽  
Author(s):  
Anthony N. Tafuri ◽  
James J. Yezzi ◽  
Daniel J. Watts ◽  
John M. Carlyle

ABSTRACT The use of passive acoustic techniques to detect and locate leaks in underground pipelines that carry pressurized liquids is being investigated in a joint research program between the Department of Defense (DoD), the Department of Energy (DOE), and the U.S. Environmental Protection Agency (EPA). Acoustic techniques permit more cost-effective, timely, and accurate leak detection and location than currently established techniques, such as methodologies based on volumetric changes and others based on pressure loss. An experimental facility for determining the capabilities and limitations of improved leak detection and leak location methods based on advanced acoustic principles is being developed at the EPA's research facility in Edison, New Jersey. Four representative pipeline systems will be installed and evaluated: one typical of the petrochemical industry, one typical of a navy/air force hydrant refueling system, one typical of an army central heating system, and a fourth typical of pipelines associated with low-level liquid wastes at DOE facilities. Results of acoustic experiments on an existing 2-inch-diameter test line have indicated that the fundamental theory behind passive acoustic leak detection and location is solid. Several different acoustic leak detection and location methods have been explored to date; data have been produced by all of the techniques, proving their usefulness.


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