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Algorithm of Pipeline Leak Detection Based on Discrete Incremental Clustering Method

  • Jian Feng
  • Huaguang Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

A novel approach for pipeline leak fault detection has been studied, which applies self-organizing fuzzy clustering neural network to identify work status. The proposed method utilized fuzzy neural clustering of DIC method instead of constructing exact mathematical model. After normalizing the sample data, together with prior knowledge, a fuzzy neural network is used to evaluate work status. An adaptive algorithm is developed to diagnose the leak fault. The experiment results have shown the validity and practicability of the method.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jian Feng
    • 1
    • 2
  • Huaguang Zhang
    • 1
    • 2
  1. 1.School of Information Science and Engineering, Northeastern University, Shenyang, 110004China
  2. 2.Key Laboratory of Process Industry Automation, Ministry of Education, Northeastern University, Shenyang, 110004China

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