Razvarz, S, Jafari, R orcid.org/0000-0001-7298-2363 and Vargas-Jarillo, C (2019) Modelling and Analysis of Flow Rate and Pressure Head in Pipelines. In: 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 11-13 Sep 2019, Mexico City, Mexico. IEEE ISBN 978-1-7281-4840-3
Abstract
Currently, various approaches with several utilities are proposed to identify damage in the pipeline. The pipeline system is modeled in the form of a distributed parameter system, such that the state space related to the distributed parameter system contains infinite dimension. In this paper, a novel technique is proposed to analyze and model the flow in the pipeline. Important theorems are proposed for testing the observability as well as controllability of the proposed model.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. This is an author produced version of a paper published in 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | State space; Modeling; Analysis; hyperbolic equation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2020 11:40 |
Last Modified: | 27 Jan 2020 11:40 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/iceee.2019.8884587 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156067 |