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

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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
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
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