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 proceedingConference contribution


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 languageEnglish
Title of host publication2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728125473
ISBN (Print)9781728125480
Publication statusPublished - 5 Jan 2021
Event2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 - Virtual, Canberra, Australia
Duration: 1 Dec 20204 Dec 2020


Conference2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
CityVirtual, Canberra


  • fuzzy controller
  • pipeline leak detection
  • pipeline systems

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