Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/7/3188 |
| _version_ | 1797607995775909888 |
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| author | Massimo Borg Paul Refalo Emmanuel Francalanza |
| author_facet | Massimo Borg Paul Refalo Emmanuel Francalanza |
| author_sort | Massimo Borg |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T05:37:25Z |
| format | Article |
| id | doaj.art-071427f6df7a47e1aaa5ac0f0685acc1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T05:37:25Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-071427f6df7a47e1aaa5ac0f0685acc12023-11-17T16:38:37ZengMDPI AGEnergies1996-10732023-03-01167318810.3390/en16073188Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic ReviewMassimo Borg0Paul Refalo1Emmanuel Francalanza2Department of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, MaltaDepartment of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, MaltaDepartment of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, 2080 Msida, MaltaThe 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.https://www.mdpi.com/1996-1073/16/7/3188compressed airfault detectionenergy efficiencysmart and sustainable systems |
| spellingShingle | Massimo Borg Paul Refalo Emmanuel Francalanza Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review Energies compressed air fault detection energy efficiency smart and sustainable systems |
| title | Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review |
| title_full | Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review |
| title_fullStr | Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review |
| title_full_unstemmed | Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review |
| title_short | Failure Detection Techniques on the Demand Side of Smart and Sustainable Compressed Air Systems: A Systematic Review |
| title_sort | failure detection techniques on the demand side of smart and sustainable compressed air systems a systematic review |
| topic | compressed air fault detection energy efficiency smart and sustainable systems |
| url | https://www.mdpi.com/1996-1073/16/7/3188 |
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