Marine power system intelligent operation and maintenance platform based on digital twin
ObjectivesIn order to improve the reliability and reduce the maintenance costs of marine power equipment, this paper study intelligent operation and maintenance techniques and implementation methods for marine power systems.MethodsFirst, a marine power system intelligent operation and maintenance fr...
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Format: | Article |
Language: | English |
Published: |
Editorial Office of Chinese Journal of Ship Research
2022-12-01
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Series: | Zhongguo Jianchuan Yanjiu |
Subjects: | |
Online Access: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02654 |
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author | Qiaoyu ZHANG Hanjiang SONG Liangcai LI Zhenguo SONG Zhengxiang LI |
author_facet | Qiaoyu ZHANG Hanjiang SONG Liangcai LI Zhenguo SONG Zhengxiang LI |
author_sort | Qiaoyu ZHANG |
collection | DOAJ |
description | ObjectivesIn order to improve the reliability and reduce the maintenance costs of marine power equipment, this paper study intelligent operation and maintenance techniques and implementation methods for marine power systems.MethodsFirst, a marine power system intelligent operation and maintenance framework based on digital twin technology is established according to module functions and system structure. Intelligent control technology based on the aggregative stability indicator is then proposed, including the optimal operating condition database, intelligent control parameter search method and variable operation process optimization method. Finally, according to the knowledge-based, model-based and big data-driven fault diagnosis methods, the integrated fault diagnosis of complex systems is realized, and a digital twin-based intelligent operation and maintenance system for power systems is constructed. ResultThe application case of an intelligent power system operation and maintenance platform verifies the feasibility of realizing intelligent control and fault diagnosis functions. ConclusionThe results of this study can provide valuable references for the research and design of intelligent engine rooms. |
first_indexed | 2024-04-10T22:20:47Z |
format | Article |
id | doaj.art-4c8fdbd156504918aeb3f84e886398f6 |
institution | Directory Open Access Journal |
issn | 1673-3185 |
language | English |
last_indexed | 2024-04-10T22:20:47Z |
publishDate | 2022-12-01 |
publisher | Editorial Office of Chinese Journal of Ship Research |
record_format | Article |
series | Zhongguo Jianchuan Yanjiu |
spelling | doaj.art-4c8fdbd156504918aeb3f84e886398f62023-01-18T03:09:49ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852022-12-0117Supp1738010.19693/j.issn.1673-3185.02654ZG2654Marine power system intelligent operation and maintenance platform based on digital twinQiaoyu ZHANG0Hanjiang SONG1Liangcai LI2Zhenguo SONG3Zhengxiang LI4China Ship Development and Design Center, Wuhan 430064, ChinaNaval Research Academy, Beijing 100161, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaObjectivesIn order to improve the reliability and reduce the maintenance costs of marine power equipment, this paper study intelligent operation and maintenance techniques and implementation methods for marine power systems.MethodsFirst, a marine power system intelligent operation and maintenance framework based on digital twin technology is established according to module functions and system structure. Intelligent control technology based on the aggregative stability indicator is then proposed, including the optimal operating condition database, intelligent control parameter search method and variable operation process optimization method. Finally, according to the knowledge-based, model-based and big data-driven fault diagnosis methods, the integrated fault diagnosis of complex systems is realized, and a digital twin-based intelligent operation and maintenance system for power systems is constructed. ResultThe application case of an intelligent power system operation and maintenance platform verifies the feasibility of realizing intelligent control and fault diagnosis functions. ConclusionThe results of this study can provide valuable references for the research and design of intelligent engine rooms.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02654marine power systemintelligent engine roomfault diagnosisintelligent operation and maintenance |
spellingShingle | Qiaoyu ZHANG Hanjiang SONG Liangcai LI Zhenguo SONG Zhengxiang LI Marine power system intelligent operation and maintenance platform based on digital twin Zhongguo Jianchuan Yanjiu marine power system intelligent engine room fault diagnosis intelligent operation and maintenance |
title | Marine power system intelligent operation and maintenance platform based on digital twin |
title_full | Marine power system intelligent operation and maintenance platform based on digital twin |
title_fullStr | Marine power system intelligent operation and maintenance platform based on digital twin |
title_full_unstemmed | Marine power system intelligent operation and maintenance platform based on digital twin |
title_short | Marine power system intelligent operation and maintenance platform based on digital twin |
title_sort | marine power system intelligent operation and maintenance platform based on digital twin |
topic | marine power system intelligent engine room fault diagnosis intelligent operation and maintenance |
url | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02654 |
work_keys_str_mv | AT qiaoyuzhang marinepowersystemintelligentoperationandmaintenanceplatformbasedondigitaltwin AT hanjiangsong marinepowersystemintelligentoperationandmaintenanceplatformbasedondigitaltwin AT liangcaili marinepowersystemintelligentoperationandmaintenanceplatformbasedondigitaltwin AT zhenguosong marinepowersystemintelligentoperationandmaintenanceplatformbasedondigitaltwin AT zhengxiangli marinepowersystemintelligentoperationandmaintenanceplatformbasedondigitaltwin |