| Autor: |
Qiaoyu ZHANG, Hanjiang SONG, Liangcai LI, Zhenguo SONG, Zhengxiang LI |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Zhongguo Jianchuan Yanjiu, Vol 17, Iss Supp1, Pp 73-80 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1673-3185 |
| DOI: |
10.19693/j.issn.1673-3185.02654 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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