Pipeline Leak Detection and Location based on Fuzzy Controller

Sina Razvarz; Raheleh Jafari; Cristobal Vargas-Jarillo; Alexander Gegov; Farzad Arabikhan

doi:10.1109/SSCI47803.2020.9308314

Pipeline Leak Detection and Location based on Fuzzy Controller

Sina Razvarz
, Raheleh Jafari
, Cristobal Vargas-Jarillo
, Alexander Gegov
, Farzad Arabikhan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high- precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.

Original language	English
Title of host publication	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1944-1949
Number of pages	6
ISBN (Electronic)	9781728125473
ISBN (Print)	9781728125480
DOIs	https://doi.org/10.1109/SSCI47803.2020.9308314
Publication status	Published - 5 Jan 2021
Event	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 - Virtual, Canberra, Australia Duration: 1 Dec 2020 → 4 Dec 2020

Conference

Conference	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
Country/Territory	Australia
City	Virtual, Canberra
Period	1/12/20 → 4/12/20

Keywords

fuzzy controller
pipeline leak detection
pipeline systems

Access to Document

10.1109/SSCI47803.2020.9308314

Cite this

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title = "Pipeline Leak Detection and Location based on Fuzzy Controller",

abstract = "Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high- precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.",

keywords = "fuzzy controller, pipeline leak detection, pipeline systems",

author = "Sina Razvarz and Raheleh Jafari and Cristobal Vargas-Jarillo and Alexander Gegov and Farzad Arabikhan",

note = "No ISSN; 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 ; Conference date: 01-12-2020 Through 04-12-2020",

year = "2021",

month = jan,

day = "5",

doi = "10.1109/SSCI47803.2020.9308314",

language = "English",

isbn = "9781728125480",

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booktitle = "2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Razvarz, S, Jafari, R, Vargas-Jarillo, C, Gegov, A & Arabikhan, F 2021, Pipeline Leak Detection and Location based on Fuzzy Controller. in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020. Institute of Electrical and Electronics Engineers Inc., pp. 1944-1949, 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Virtual, Canberra, Australia, 1/12/20. https://doi.org/10.1109/SSCI47803.2020.9308314

TY - GEN

T1 - Pipeline Leak Detection and Location based on Fuzzy Controller

AU - Razvarz, Sina

AU - Jafari, Raheleh

AU - Vargas-Jarillo, Cristobal

AU - Gegov, Alexander

AU - Arabikhan, Farzad

N1 - No ISSN

PY - 2021/1/5

Y1 - 2021/1/5

N2 - Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high- precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.

AB - Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high- precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.

KW - fuzzy controller

KW - pipeline leak detection

KW - pipeline systems

UR - https://www.scopus.com/pages/publications/85099680364

U2 - 10.1109/SSCI47803.2020.9308314

DO - 10.1109/SSCI47803.2020.9308314

M3 - Conference contribution

AN - SCOPUS:85099680364

SN - 9781728125480

SP - 1944

EP - 1949

BT - 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

Y2 - 1 December 2020 through 4 December 2020

ER -

Pipeline Leak Detection and Location based on Fuzzy Controller

Abstract

Conference

Keywords

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