&lt;title&gt;Applicability of a novel distributed fiber optic acoustic sensor for leak detection&lt;/title&gt;

Kurmer, John P.; Kingsley, Stuart A.; Laudo, John S.; Krak, Stephen J.

doi:10.1117/12.141302

Cited by 13 publications

(5 citation statements)

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“…Long range fibre optic acoustic sensors are also used for in-pipe measurement. Applications include acoustic-based leak detection [29] and real time detection of wire breaks in prestressed concrete cylinder pipes [30]. However, deployment of long range fibre optic cables along existing water distribution pipelines is often costly and difficult as the pipelines are typically buried underground.…”

Section: Fibre Optic Sensing In Pipeline Health Monitoringmentioning

confidence: 99%

In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection

et al. 2018

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Controlled hydraulic transient pressure waves can be used to actively assess the condition of pressurised pipelines (e.g. leak detection). One practical challenge to the application of the technique to buried water pipelines is in the pressure measurementfast-response pressure transducers are costly and the deployment is limited to one sensor per access point (e.g. at air valves or fire hydrants). The measurement from a single sensor is always the superposition of the waves travelling upstream and downstream along a pipe. It is often difficult to determine the direction of the propagating waves, unless there are suitable locations nearby where additional measurements can be made. The research reported here develops a fibre optic pressure sensor array for in-pipe transient pressure measurement. The sensor array consists of five Fibre Bragg Gratings (FBGs), each formed into a custom designed pressure transducer. The cable containing the array has a diameter of approximately 4 mm, making it easy to insert into a pipeline through a single access point for distributed transient pressure measurement. The usefulness of the fibre optic pressure sensors for transient-based pipeline leak detection is validated through laboratory experiments. The measurement from each individual fibre optic sensor is generally consistent with conventional piezo-resistive pressure transducers over a wide frequency range. The sensor array configuration enables the determination of the directional information of waves, therefore enhancing the ability of pipeline defect detection and localisation.

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Section: Fibre Optic Sensing In Pipeline Health Monitoringmentioning

confidence: 99%

In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection

et al. 2018

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“…Vapor monitoring adjacent to pipelines via dry wells (Raisanen 1991) Acoustic sensors (Fuchs andRiehle 1991, Kupperman 1990) Fiber optic acoustic sensor (Kurmer et al 1993) Infrared thermography (Anon. 1989, Weil 1992 Ground penetrating radar (Graf 1990) Perfluorocarbon tracers (Dietz 1992).…”

Section: Leak Detection For Pipelinesmentioning

confidence: 99%

“…For pipeline applications, the sensor needs to be in contact with the pipdine. A fiber optic acoustic sensor (Kurmer et al 1993) has also been demonstrated that is @aced within the pipeline. For internal tank monitoring, either the sensor needs to be snbmerged in the liquid or the tank must be pressurized and the sensor placed in the air space above the liquid.…”

Section: Acoustic Sensormentioning

confidence: 99%

A survey of existing and emerging technologies for external detection of liquid leaks at the Hanford Site

Lewis¹,

Teel²

1994

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This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. DISCLAIM ER Portions of this document may be illegible in electronic image products. Images are produced from the best available original document.

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“…Those operating conditions result in more false alarms of pipeline leak detection s ystem occur, and in addition, the leak signal becomes much weaker on account of longer and longer distance between pump stations. In order to quickly identify and accurately locate the leakage, and reduce the false alarm rate further, how to extract the weak leakage signal under the complex working conditions has been a difficult and urgent problem for pipeline leakage detection technology [3][4].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Analysis Chaotic Characteristics of Leak Signal of Pipeline based on Reconstructed Phase Space

Shi¹,

Xu²,

Qu³

et al. 2015

IJSEIA

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The In this paper, nonlinear analysis is used to study the possibility of chaotic behavior of pipeline pressure signal. Based on real-time data of pipeline leak monitoring system, oil pipeline pressure signals have been verified to be chao system by analyzing the chaotic characteristic of pressure time series. Six typical measured data of pipeline pressure are selected and reconstructed to the higher phase space. And then the largest Lyapunov exponent of each data is calculated to test and verify the chaotic characteristics of the pressure signal. For pipeline leakage fault diagnosis, the approximate entropy (ApEn) has been applied to extract the nonlinear and chaotic characteristics. By calculating the ApEn of normal, operation and leakage signals, the results indicate that the value ranges of three kinds of signals are above 0.35, below 0.025, and from 0.025 to 0.35. And the identification rate of pipeline leakage has been reached 90.0% only based on ApEn, which provide more effective basis for the classification and identification of chaotic characteristics of the pressure signal.

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<title>Applicability of a novel distributed fiber optic acoustic sensor for leak detection</title>

Cited by 13 publications

References 0 publications

In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection

In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection

A survey of existing and emerging technologies for external detection of liquid leaks at the Hanford Site

Nonlinear Analysis Chaotic Characteristics of Leak Signal of Pipeline based on Reconstructed Phase Space

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