Leak Detection and Location of Pipelines Based on LMD and Least Squares Twin Support Vector Machine

Leak Detection and Location of Pipelines Based on LMD and Least Squares Twin Support Vector Machine

In oil pipeline leak detection and location, noise in the pressure signal collected at the end of the pipeline affects the accuracy of leak detection and the error of leakage location. To reduce the noise interference, an improved local mean decomposition signal analysis method is proposed. The prod...

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Bibliographic Details
Main Authors: Xianming Lang, Ping Li, Zhiyong Hu, Hong Ren, Yan Li
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Local mean decomposition
wavelet analysis
least squares twin support vector machine (LSTSVM)
leak aperture
leak location
Flowmaster software
Online Access:https://ieeexplore.ieee.org/document/7924363/

Internet

https://ieeexplore.ieee.org/document/7924363/

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