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- Title
Application of Artificial Intelligence in Marine Corrosion Prediction and Detection.
- Authors
Imran, Md Mahadi Hasan; Jamaludin, Shahrizan; Ayob, Ahmad Faisal Mohamad; Ali, Ahmad Ali Imran Mohd; Ahmad, Sayyid Zainal Abidin Syed; Akhbar, Mohd Faizal Ali; Suhrab, Mohammed Ismail Russtam; Zainal, Nasharuddin; Norzeli, Syamimi Mohd; Mohamed, Saiful Bahri
- Abstract
One of the biggest problems the maritime industry is currently experiencing is corrosion, resulting in short and long-term damages. Early prediction and proper corrosion monitoring can reduce economic losses. Traditional approaches used in corrosion prediction and detection are time-consuming and challenging to execute in inaccessible areas. Due to these reasons, artificial intelligence-based algorithms have become the most popular tools for researchers. This study discusses state-of-the-art artificial intelligence (AI) methods for marine-related corrosion prediction and detection: (1) predictive maintenance approaches and (2) computer vision and image processing approaches. Furthermore, a brief description of AI is described. The outcomes of this review will bring forward new knowledge about AI and the development of prediction models which can avoid unexpected failures during corrosion detection and maintenance. Moreover, it will expand the understanding of computer vision and image processing approaches for accurately detecting corrosion in images and videos.
- Subjects
SEAWATER corrosion; ARTIFICIAL intelligence; COMPUTER vision; IMAGE processing; PREDICTION models; DENTAL metallurgy
- Publication
Journal of Marine Science & Engineering, 2023, Vol 11, Issue 2, p256
- ISSN
2077-1312
- Publication type
Article
- DOI
10.3390/jmse11020256