Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes
When it comes to the upkeep of engineering structures in a variety of industries, corrosion monitoring systems are an extremely important components. In particular, applications such as storage tanks for hazardous chemicals and weight-bearing structures of large engineering constructions are at the...
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| Format: | Article |
| Language: | English |
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Engineering Society for Corrosion, Belgrade, Serbia
2024-09-01
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| Series: | Zaštita Materijala |
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| Online Access: | https://www.zastita-materijala.org/index.php/home/article/view/1192 |
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| author | Rajasekaran Saminathan Abdulla Yahya Ali Nashali Abdulrahman Ahmed Ali Haqawi Shanmugasundaram Marappan Shanmuga Priya Natesan Farah Shakeel |
| author_facet | Rajasekaran Saminathan Abdulla Yahya Ali Nashali Abdulrahman Ahmed Ali Haqawi Shanmugasundaram Marappan Shanmuga Priya Natesan Farah Shakeel |
| author_sort | Rajasekaran Saminathan |
| collection | DOAJ |
| description | When it comes to the upkeep of engineering structures in a variety of industries, corrosion monitoring systems are an extremely important components. In particular, applications such as storage tanks for hazardous chemicals and weight-bearing structures of large engineering constructions are at the forefront of providing attention to relevance. This is due to the fact that failures experienced by these applications can potentially result in catastrophic consequences. As a result, contemporary methods make use of the application of concepts connected with machine learning and artificial intelligence in order to efficiently monitor and identify corrosion related damages. As a consequence of this, the monitoring system is able to provide the control of the industrial structures with minute-by-minute updates. Therefore, the catastrophe is prevented to a significant degree, and there is a significant possibility of lowering the costs associated with technical procedures that require maintenance. Within the scope of this paper, a comprehensive analysis is conducted on the applications of artificial intelligence and machine learning techniques that are utilized in corrosion monitoring systems across a wide range of industries. Through this assessment, the solutions and efficient corrosion monitoring methods that are specific to the domains made available. Consequently, the purpose of this work is to determine the appropriate technique of monitoring systems for each and every corrosion-related disorder. |
| format | Article |
| id | doaj-art-5b7c3da8da6245e39576f7e7c050a166 |
| institution | Kabale University |
| issn | 0351-9465 2466-2585 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Engineering Society for Corrosion, Belgrade, Serbia |
| record_format | Article |
| series | Zaštita Materijala |
| spelling | doaj-art-5b7c3da8da6245e39576f7e7c050a1662024-12-09T17:03:30ZengEngineering Society for Corrosion, Belgrade, SerbiaZaštita Materijala0351-94652466-25852024-09-0165347348010.62638/ZasMat11921191Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processesRajasekaran Saminathan0https://orcid.org/0000-0003-0284-1818Abdulla Yahya Ali Nashali1Abdulrahman Ahmed Ali Haqawi2Shanmugasundaram Marappan3Shanmuga Priya Natesan4Farah Shakeel5Department of Mechanical Engineering, College of Engineering and Computer Sciences, Jazan University, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering and Computer Sciences, Jazan University, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering and Computer Sciences, Jazan University, Saudi ArabiaDepartment of AI & ML, BMSIT & M, Bangalore, IndiaDeptartment of Mechanical engineering, Siddaganga Institute of Technology, Tumkur. Karnataka, IndiaLecturer, Department of English, AlArdah University College, Jazan University, Saudi ArabiaWhen it comes to the upkeep of engineering structures in a variety of industries, corrosion monitoring systems are an extremely important components. In particular, applications such as storage tanks for hazardous chemicals and weight-bearing structures of large engineering constructions are at the forefront of providing attention to relevance. This is due to the fact that failures experienced by these applications can potentially result in catastrophic consequences. As a result, contemporary methods make use of the application of concepts connected with machine learning and artificial intelligence in order to efficiently monitor and identify corrosion related damages. As a consequence of this, the monitoring system is able to provide the control of the industrial structures with minute-by-minute updates. Therefore, the catastrophe is prevented to a significant degree, and there is a significant possibility of lowering the costs associated with technical procedures that require maintenance. Within the scope of this paper, a comprehensive analysis is conducted on the applications of artificial intelligence and machine learning techniques that are utilized in corrosion monitoring systems across a wide range of industries. Through this assessment, the solutions and efficient corrosion monitoring methods that are specific to the domains made available. Consequently, the purpose of this work is to determine the appropriate technique of monitoring systems for each and every corrosion-related disorder.https://www.zastita-materijala.org/index.php/home/article/view/1192artificial intelligence, machine learning, corrosion monitoring system, oil and gas industries |
| spellingShingle | Rajasekaran Saminathan Abdulla Yahya Ali Nashali Abdulrahman Ahmed Ali Haqawi Shanmugasundaram Marappan Shanmuga Priya Natesan Farah Shakeel Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes Zaštita Materijala artificial intelligence, machine learning, corrosion monitoring system, oil and gas industries |
| title | Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes |
| title_full | Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes |
| title_fullStr | Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes |
| title_full_unstemmed | Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes |
| title_short | Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes |
| title_sort | role of artificial intelligence ai and machine learning ml in the corrosion monitoring processes |
| topic | artificial intelligence, machine learning, corrosion monitoring system, oil and gas industries |
| url | https://www.zastita-materijala.org/index.php/home/article/view/1192 |
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