2012Asia-Pacific Journal of Chemical EngineeringRequires access

Leak detection of gas pipelines based on Wigner distribution

Shouchao Zhai, Fan Yang, Hongying Yang, Hao Ye, Guizeng Wang

Open publisher page 4 citations

Abstract

ABSTRACT Leak detection of gas pipelines based on acoustic signals has drawn intensive attention in recent years because of its advantages over the widely adopted method based on negative pressure wave. However, detection of a small leakage in a long gas pipeline with a low pressure and complex disturbances is still a challenging problem, because in this case, the leak acoustic signal that arrives at a transducer may be weak and thus thoroughly covered by disturbances. This paper reports on the application of the Wigner–Ville distribution (WVD) method in leak detection of gas pipelines based on acoustic signals. The WVD of the acoustic transducer signal is used to find the sensitive frequency band corresponding to a leak and to detect the leak acoustic signal from strong disturbances. To suppress the influence of cross terms of the WVD, we adopted a time‐averaging WVD. Offline tests based on historical leak experimental data of a real pipeline show the effectiveness of the method in detecting leak faults of a long gas pipeline with a low pressure and strong disturbances. © 2012 Curtin University of Technology and John Wiley & Sons, Ltd.

About this research paper

What this paper is about

ABSTRACT Leak detection of gas pipelines based on acoustic signals has drawn intensive attention in recent years because of its advantages over the widely adopted method based on negative pressure wave. However, detection of a small leakage in a long gas pipeline with a low pressure and complex disturbances is still a challenging problem, because in this case, the leak acoustic signal that arrives at a transducer may be weak and thus thoroughly covered by disturbances. This paper reports on the application of the Wigner–Ville distribution (WVD) method in leak detection of gas pipelines based on acoustic signals. The WVD of the acoustic transducer signal is used to find the sensitive frequency band corresponding to a leak and to detect the leak acoustic signal from strong disturbances. To suppress the influence of cross terms of the WVD, we adopted a time‐averaging WVD. Offline tests based on historical leak experimental data of a real pipeline show the effectiveness of the method in detecting leak faults of a long gas pipeline with a low pressure and strong disturbances. © 2012 Curtin University of Technology and John Wiley & Sons, Ltd.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

ABSTRACT Leak detection of gas pipelines based on acoustic signals has drawn intensive attention in recent years because of its advantages over the widely adopted method based on negative pressure wave. However, detection of a small leakage in a long gas pipeline with a low pressure and complex disturbances is still a challenging problem, because in this case, the leak acoustic signal that arrives at a transducer may be weak and thus thoroughly covered by disturbances. This paper reports on the application of the Wigner–Ville distribution (WVD) method in leak detection of gas pipelines based on acoustic signals. The WVD of the acoustic transducer signal is used to find the sensitive frequency band corresponding to a leak and to detect the leak acoustic signal from strong disturbances. To suppress the influence of cross terms of the WVD, we adopted a time‐averaging WVD. Offline tests based on historical leak experimental data of a real pipeline show the effectiveness of the method in detecting leak faults of a long gas pipeline with a low pressure and strong disturbances. © 2012 Curtin University of Technology and John Wiley & Sons, Ltd.

Key concepts: Leak, Pipeline transport, Pipeline (software), SIGNAL (programming language), Acoustics, Transducer, Leakage (economics), Leak detection

Related papers

Back to paper searchBrowse research topicsOriginal source
Leak detection of gas pipelines based on Wigner distribution — Research Paper | ScholarLens