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Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review

Author

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  • Massimo Borg

    (Department of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, Malta)

  • Paul Refalo

    (Department of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, Malta)

  • Emmanuel Francalanza

    (Department of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, Malta)

Abstract

The industrial sector is a crucial economic pillar, seeing annual increases in the production output. In the last few years, a greater emphasis has been placed on the efficient and sustainable use of resources within industry. The use of compressed air in this field is hence gaining interest. These systems have numerous benefits, such as relative low investment costs and reliability; however, they suffer from low-energy efficiency and are highly susceptible to faults. Conventional detection systems, such as ultrasonic leak detection, can be used to identify faults. However, these methods are time consuming, meaning that leakages are often left unattended, contributing to additional energy wastage. Studies published in this area often focus on the supply side rather than the demand side of pneumatic systems. This paper offers a novel review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology of fault detection methods on the demand side of compressed air systems, leading towards a comprehensive understanding of smart and sustainable pneumatic systems. Fifty-three studies were classified and reviewed under the following three areas: (a) demand parameters which help in identifying fault sources; (b) approaches taken to analyse the parametric data; and (c) the role of Artificial Intelligence (AI) in pneumatic fault monitoring systems. This review shows that fault detection on the demand side has received greater importance in the last five years and that data analysis is crucial for AI to be implemented correctly. Nevertheless, it is clear that further research in this sector is essential, in order to investigate more complex systems. It is envisaged that this study can promote the adoption of such systems, contributing to an energy-efficient and cost-effective industry.

Suggested Citation

  • Massimo Borg & Paul Refalo & Emmanuel Francalanza, 2023. "Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review," Energies, MDPI, vol. 16(7), pages 1-36, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3188-:d:1113496
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    References listed on IDEAS

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    1. Wilkinson, Leland, 2006. "Revising the Pareto Chart," The American Statistician, American Statistical Association, vol. 60, pages 332-334, November.
    2. Doner, Nimeti & Ciddi, Kerem, 2022. "Regression analysis of the operational parameters and energy-saving potential of industrial compressed air systems," Energy, Elsevier, vol. 252(C).
    3. Vladislav Blagojevic & Dragan Seslija & Slobodan Dudic & Sasa Randjelovic, 2020. "Energy Efficiency of Pneumatic Cylinder Control with Different Levels of Compressed Air Pressure and Clamping Cartridge," Energies, MDPI, vol. 13(14), pages 1-11, July.
    4. Neale, James R. & Kamp, Peter J.J., 2009. "Compressed air system best practice programmes: What needs to change to secure long-term energy savings for New Zealand?," Energy Policy, Elsevier, vol. 37(9), pages 3400-3408, September.
    5. Cabello Eras, Juan José & Sagastume Gutiérrez, Alexis & Sousa Santos, Vladimir & Cabello Ulloa, Mario Javier, 2020. "Energy management of compressed air systems. Assessing the production and use of compressed air in industry," Energy, Elsevier, vol. 213(C).
    6. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
    7. Vittorini, Diego & Cipollone, Roberto, 2016. "Energy saving potential in existing industrial compressors," Energy, Elsevier, vol. 102(C), pages 502-515.
    8. Czopek, Dorota & Gryboś, Dominik & Leszczyński, Jacek & Wiciak, Jerzy, 2022. "Identification of energy wastes through sound analysis in compressed air systems," Energy, Elsevier, vol. 239(PB).
    9. Miriam Benedetti & Francesca Bonfà & Vito Introna & Annalisa Santolamazza & Stefano Ubertini, 2019. "Real Time Energy Performance Control for Industrial Compressed Air Systems: Methodology and Applications," Energies, MDPI, vol. 12(20), pages 1-28, October.
    10. Giacone, E. & Mancò, S., 2012. "Energy efficiency measurement in industrial processes," Energy, Elsevier, vol. 38(1), pages 331-345.
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    Cited by:

    1. Gryboś, Dominik & Leszczyński, Jacek, 2023. "Exergy analysis of pressure reduction, back pressure and intermittent air supply configuration of utilization/expansion stage in compressed air systems," Energy, Elsevier, vol. 285(C).

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