A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions
Prognostic and health management (PHM) methods focus on improving the performance and reliability of systems with a high degree of complexity and criticality. These systems include engines, turbines, and robotic systems. PHM methods involve managing technical processes, such as condition monitoring,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/11/7/695 |
| _version_ | 1827732627697696768 |
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| author | Hla Gharib György Kovács |
| author_facet | Hla Gharib György Kovács |
| author_sort | Hla Gharib |
| collection | DOAJ |
| description | Prognostic and health management (PHM) methods focus on improving the performance and reliability of systems with a high degree of complexity and criticality. These systems include engines, turbines, and robotic systems. PHM methods involve managing technical processes, such as condition monitoring, fault diagnosis, health prognosis, and maintenance decision-making. Various software and applications deal with the processes mentioned above independently. We can also observe different development levels, making connecting all of the machine’s technical processes in one health management system with the best possible output a challenging task. This study’s objective was to outline the scope of PHM methods in real-time conditions and propose new directions to develop a decision support tool for marine diesel engines. In this paper, we illustrate PHM processes and the state of the art in the marine industry for each technical process. Then, we review PHM methods and limitations for marine diesel engines. Finally, we analyze future research opportunities for the marine industry and their role in developing systems’ performance and reliability. The main added value of the research is that a research gap was found in this research field, which is that new advanced PHM methods have to be implemented for marine diesel engines. Our suggestions to improve marine diesel engines’ operation and maintenance include implementing advanced PHM methods and utilizing predictive analytics and machine learning. |
| first_indexed | 2024-03-11T00:53:50Z |
| format | Article |
| id | doaj.art-67ef7f5cacff4a4783592145949e9064 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T00:53:50Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-67ef7f5cacff4a4783592145949e90642023-11-18T20:12:13ZengMDPI AGMachines2075-17022023-07-0111769510.3390/machines11070695A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research DirectionsHla Gharib0György Kovács1Faculty of Mechanical Engineering and Informatics, Institute of Manufacturing Science, University of Miskolc, 3515 Miskolc, HungaryFaculty of Mechanical Engineering and Informatics, Institute of Manufacturing Science, University of Miskolc, 3515 Miskolc, HungaryPrognostic and health management (PHM) methods focus on improving the performance and reliability of systems with a high degree of complexity and criticality. These systems include engines, turbines, and robotic systems. PHM methods involve managing technical processes, such as condition monitoring, fault diagnosis, health prognosis, and maintenance decision-making. Various software and applications deal with the processes mentioned above independently. We can also observe different development levels, making connecting all of the machine’s technical processes in one health management system with the best possible output a challenging task. This study’s objective was to outline the scope of PHM methods in real-time conditions and propose new directions to develop a decision support tool for marine diesel engines. In this paper, we illustrate PHM processes and the state of the art in the marine industry for each technical process. Then, we review PHM methods and limitations for marine diesel engines. Finally, we analyze future research opportunities for the marine industry and their role in developing systems’ performance and reliability. The main added value of the research is that a research gap was found in this research field, which is that new advanced PHM methods have to be implemented for marine diesel engines. Our suggestions to improve marine diesel engines’ operation and maintenance include implementing advanced PHM methods and utilizing predictive analytics and machine learning.https://www.mdpi.com/2075-1702/11/7/695prognostic and health managementmarine diesel enginesexpert systemsnew research directions |
| spellingShingle | Hla Gharib György Kovács A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions Machines prognostic and health management marine diesel engines expert systems new research directions |
| title | A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions |
| title_full | A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions |
| title_fullStr | A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions |
| title_full_unstemmed | A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions |
| title_short | A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions |
| title_sort | review of prognostic and health management phm methods and limitations for marine diesel engines new research directions |
| topic | prognostic and health management marine diesel engines expert systems new research directions |
| url | https://www.mdpi.com/2075-1702/11/7/695 |
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