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Application of Support Vector Machine Learning to Leak Detection and Location in Pipelines
  • 所属机构名称：清华大学
  • 会议名称：IEEE 2004 Instrumentation and Measurement Technology Conference (IMTC/04)
  • 作者或编辑：3448
  • 第一作者单位：Tsinghua University
  • 语言：英文
  • 成果类型：会议
  • 相关项目：网络环境下的基于鲁棒观测器的故障诊断方法研究
作者： Huali Chen|Hao Ye|Chen Lv|H.Y. Su|
同会议论文项目
网络环境下的基于鲁棒观测器的故障诊断方法研究
期刊论文 9 会议论文 11
同项目会议论文
A New Fault Detection Approach Based on Parity Relation and Stationary Wavelet Transform
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Leak detection in pipelines based on non-negative matrix factorization
Application of Enhanced Independent Component Analysis to Leak Detection in Transport Pipelines
A combinative method for fault detection of Networked Control System
Leak detection in transport pipelines using enhanced independent component analysis and support vect
A New Approach for Fault Detection of Networked Control Systems