An Integration Method Using Kernel Principal Component Analysis and Cascade Support Vector Data Description for Pipeline Leak Detection with Multiple Operating Modes

An Integration Method Using Kernel Principal Component Analysis and Cascade Support Vector Data Description for Pipeline Leak Detection with Multiple Operating Modes

Pipelines are one of the most efficient and economical methods of transporting fluids, such as oil, natural gas, and water. However, pipelines are often subject to leakage due to pipe corrosion, pipe aging, pipe weld defects, or damage by a third-party, resulting in huge economic losses and environm...

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Bibliographic Details
Main Authors: Mengfei Zhou, Qiang Zhang, Yunwen Liu, Xiaofang Sun, Yijun Cai, Haitian Pan
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Processes
Subjects:
multiple operating modes
cascade support vector data description
leak detection
K-means
kernel principal component analysis
Online Access:https://www.mdpi.com/2227-9717/7/10/648

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