Pipeline leak detection and estimation using fuzzy PID observer

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

A pipe is a ubiquitous product in the industries that is used to convey liquids, gases, or solids suspended in a liquid, e.g., a slurry, from one location to another. Both internal and external cracking can result in structural failure of the industrial piping system and possibly decrease the service life of the equipment. The chaos and complexity associated with the uncertain behaviour inherent in pipeline systems lead to difficulty in detection and localisation of leaks in real time. The timely detection of leakage is important in order to reduce the loss rate and serious environmental consequences. The objective of this paper is to propose a new leak detection method based on an autoregressive with exogenous input (ARX) Laguerre fuzzy proportional-integral-derivative (PID) observation system. The objective of this paper is to propose a new leak detection method based on an autoregressive with exogenous input (ARX) Laguerre fuzzy proportional-integral-derivative (PID) observation system. In this work, the ARX–Laguerre model has been used to generate better performance in the presence of uncertainty. According to the results, the proposed technique can detect leaks accurately and effectively.
Original languageEnglish
Article number152
Number of pages14
JournalElectronics
Volume11
Issue number1
DOIs
Publication statusPublished - 4 Jan 2022

Keywords

  • autoregressive with exogenous input Laguerre (ARX–Laguerre)
  • fuzzy
  • pipeline
  • PID
  • controller
  • PID observer

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