Application of Acoustic Signal Hybrid Filtering with 1D-CNN for Fault Diagnosis of Natural Gas Pipeline Leakage-Reference-Cited by-同舟云学术

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Application of Acoustic Signal Hybrid Filtering with 1D-CNN for Fault Diagnosis of Natural Gas Pipeline Leakage

Published:2024-08 Issue:3 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Zhang Yu¹,Yao Lizhong²^ORCID,Luo Haijun³

Affiliation:

1. Master’s Student, School of Electrical Engineering, Chongqing Univ. of Science and Technology, Chongqing 401331, PR China.

2. Associate Professor, College of Physics and Electronic Engineering, Chongqing Normal Univ., Chongqing 401331, PR China (corresponding author). ORCID: .

3. Professor, College of Physics and Electronic Engineering, Chongqing Normal Univ., Chongqing 401331, PR China; Professor, Chongqing National Center for Applied Mathematics, Chongqing 401331, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1559

Reference54 articles.

1. Learning hierarchy aware embedding from raw audio for acoustic scene classification;Abrol V.;IEEE/ACM Trans. Audio Speech Lang. Process.,2020

2. Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

3. Effect of number of neurons and layers in an artificial neural network for generalized concrete mix design

4. Effect of rubber washers on leak location for assembled pressurized liquid pipeline based on negative pressure wave method

5. An improved variational mode decomposition method based on particle swarm optimization for leak detection of liquid pipelines

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