Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals

Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals

Detection technology of underwater pipeline leakage plays an important role in the subsea production system. In this paper, a new method based on the acoustic leak signal collected by a hydrophone is proposed to detect pipeline leakage in the subsea production system. Through the pipeline leakage te...

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Bibliographic Details
Main Authors: Yingchun Xie, Yucheng Xiao, Xuyan Liu, Guijie Liu, Weixiong Jiang, Jin Qin
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
acoustic leak signal
hydrophone
fault diagnosis
time-frequency image
EEMD
CNN
Online Access:https://www.mdpi.com/1424-8220/20/18/5040

Internet

https://www.mdpi.com/1424-8220/20/18/5040

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