Feature extraction and identification of leak acoustic signal in water supply pipelines using correlation analysis and Lyapunov exponent

9th Symposium on Fluid-Structure Interactions, Flow-Sound Interactions, Flow-Induced Vibration & Noise

View Publication Info
 
 
Field Value
 
Title Feature extraction and identification of leak acoustic signal in water supply pipelines using correlation analysis and Lyapunov exponent
 
Creator JingBin Liu; <span><span>8613216161770</span></span>
 
Subject leak detection;feature extraction;correlation analysis;Lyapunov exponent
 
Description The leakage of water supply pipeline is a common problem in all of the world. Timely discovery and treatment of leakage can avoid drinking water pollution ,save water resources or avoid road collapse accidents. Therefore, it is of great practical significance to study pipeline leak detection methods. In this experiment, piezoelectric acceleration sensors were placed in different locations of a leak pipe to acquire the leakage signals. According to the generation mechanism of leak acoustic signals, the unpredictability characteristics of leak signal are investigated. The autocorrelation function is used to describe the unpredictability of the leak signal because it has the ability to analyze the coherent structure of time series,and the Lyapunov exponent can describe its complexity.The autocorrelation function sequence is used as featured extraction object.The Lyapunov exponent of  this sequence is used to quantify the signal characteristics.By this method , the leakage can be effectively identified. 
 
Publisher Paper Management System for FIV2018
 
Contributor
 
Date 2018-05-16 01:16:39
 
Type Peer-reviewed Paper
experimental; numerical; theoretical; engineering analysis
 
Format application/pdf
 
Identifier http://www.fiv2018.com/ocs/index.php/fiv2018/fivcan/paper/view/112
 
Source Paper Management System for FIV2018; FIV2018 Conference
 
Language en
 
Rights Authors who submit to this conference agree to the following terms:<br /> <strong>a)</strong> Authors retain copyright over their work, while allowing the conference to place this unpublished work under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a>, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference.<br /> <strong>b)</strong> Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference.<br /> <strong>c)</strong> In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference.
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library