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Failure Detection Methods for Pipeline Networks: From Acoustic Sensing to Cyber-Physical Systems

Adaptive Emergent Systems Engineering Group, Department of Computing, Imperial College London, Exhibition Road, London SW7 2AZ, UK
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This research is supported by the Singapore Ministry of National Development and the National Research Foundation, Prime Minister’s Office under the Land and Liveability National Innovation Challenge (L2NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2017-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of National Development and National Research Foundation, Prime Minister’s Office, Singapore.
Sensors 2021, 21(15), 4959; https://doi.org/10.3390/s21154959
Received: 26 May 2021 / Revised: 7 July 2021 / Accepted: 17 July 2021 / Published: 21 July 2021
(This article belongs to the Section Physical Sensors)
Pipeline networks have been widely utilised in the transportation of water, natural gases, oil and waste materials efficiently and safely over varying distances with minimal human intervention. In order to optimise the spatial use of the pipeline infrastructure, pipelines are either buried underground, or located in submarine environments. Due to the continuous expansion of pipeline networks in locations that are inaccessible to maintenance personnel, research efforts have been ongoing to introduce and develop reliable detection methods for pipeline failures, such as blockages, leakages, cracks, corrosion and weld defects. In this paper, a taxonomy of existing pipeline failure detection techniques and technologies was created to comparatively analyse their respective advantages, drawbacks and limitations. This effort has effectively illuminated various unaddressed research challenges that are still present among a wide array of the state-of-the-art detection methods that have been employed in various pipeline domains. These challenges include the extension of the lifetime of a pipeline network for the reduction of maintenance costs, and the prevention of disruptive pipeline failures for the minimisation of downtime. Our taxonomy of various pipeline failure detection methods is also presented in the form of a look-up table to illustrate the suitability, key aspects and data or signal processing techniques of each individual method. We have also quantitatively evaluated the industrial relevance and practicality of each of the methods in the taxonomy in terms of their respective deployability, generality and computational cost. The outcome of the evaluation made in the taxonomy will contribute to our future works involving the utilisation of sensor fusion and data-centric frameworks to develop efficient, accurate and reliable failure detection solutions. View Full-Text
Keywords: pipeline failure detection; non-destructive measurement; acoustic measurement; wireless sensor networks; cyber-physical systems pipeline failure detection; non-destructive measurement; acoustic measurement; wireless sensor networks; cyber-physical systems
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MDPI and ACS Style

Wong, B.; McCann, J.A. Failure Detection Methods for Pipeline Networks: From Acoustic Sensing to Cyber-Physical Systems. Sensors 2021, 21, 4959. https://doi.org/10.3390/s21154959

AMA Style

Wong B, McCann JA. Failure Detection Methods for Pipeline Networks: From Acoustic Sensing to Cyber-Physical Systems. Sensors. 2021; 21(15):4959. https://doi.org/10.3390/s21154959

Chicago/Turabian Style

Wong, Boon, and Julie A. McCann 2021. "Failure Detection Methods for Pipeline Networks: From Acoustic Sensing to Cyber-Physical Systems" Sensors 21, no. 15: 4959. https://doi.org/10.3390/s21154959

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