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.
Highlights
Pipelines are the safest way for transporting crude oil, petroleum products, and natural gas over long distances
In [7], a real-time transient modelling method has been utilised for leakage detection and localization in the pipeline systems
In accordance with Equation (21), in this paper, we study three main cases and types of faults in pipe
Summary
Pipelines are the safest way for transporting crude oil, petroleum products, and natural gas over long distances. Oil and gas pipelines may be significantly damaged due to internal and external defects (e.g., corrosion, dents, gouges, weld defects). Pipeline safety is possible using inspection and monitoring techniques which can be either internal or external in nature. In [7], a real-time transient modelling method has been utilised for leakage detection and localization in the pipeline systems. In [8], an extended version of a real-time transient modelling method to estimate two leaks simultaneously in a piping system is proposed. The acoustic pulse reflectometry method has been used successfully to identify damage in pipelines utilising the time domain [9]
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