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Blockage Detection in Pipeline

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Flow Modelling and Control in Pipeline Systems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 321))

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Abstract

Recently many techniques with different applicability have been developed for damage detection in the pipeline. Leaks and partial or complete blockages are common faults occurring in pipelines. The model-based leak, as well as block detection methods for the pipeline systems get more and more attention. Among these model-based methods, the state observer and state feedback based methods are usually used. While the observability, as well as controllability, are taken to be the prerequisites in utilizing these techniques. The pipeline system is designed as a distributed parameter system, where the state space of the distributed parameter system has infinite dimension. In this chapter, a new technique based on Extended Kalman Filter observer is proposed in order to detect and locate the blockage in the pipeline. Furthermore, the analysis of observability and controllability in the pipeline systems is studied. Some theorems are presented in order to test the observability and controllability of the system. Computing the rank of the controllability and observability matrix is carried out using Matlab.

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Author information

Authors and Affiliations

  1. Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, 07360‎, Mexico

    Sina Razvarz

  2. School of design, University of Leeds, Leeds, LS2 9JT‎, UK

    Raheleh Jafari

  3. School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, UK

    Alexander Gegov

Authors
  1. Sina Razvarz
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  2. Raheleh Jafari
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  3. Alexander Gegov
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Correspondence to Raheleh Jafari .

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Razvarz, S., Jafari, R., Gegov, A. (2021). Blockage Detection in Pipeline. In: Flow Modelling and Control in Pipeline Systems. Studies in Systems, Decision and Control, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-030-59246-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-59246-2_7

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-59246-2

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