Leaks Detection in a Pipeline Using Artificial Neural Networks

  • Ignacio Barradas
  • Luis E. Garza
  • Ruben Morales-Menendez
  • Adriana Vargas-Martínez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

A system based on Artificial Neural Networks (ANN) is proposed to detect and diagnose multiple leaks in a pipeline leaks by recognizing the pattern of the flow using only two measurements. A nonlinear mathematical model of the pipeline is exploited for training, testing and validating the ANN-based system. This system was trained with tapped delays in order to include the system dynamics. Early results demonstrate the effectiveness of the approach in the detection and diagnosis of simultaneous multiple faults.

Keywords

Leak detection Fault detection Diagnosis Artificial Neural Network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ignacio Barradas
    • 1
  • Luis E. Garza
    • 1
  • Ruben Morales-Menendez
    • 1
  • Adriana Vargas-Martínez
    • 1
  1. 1.Tecnológico de MonterreyMonterreyMéxico

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