Fine-tuning DSAE-based anomaly-locating model of underwater mooring system

被引：0

作者：

Yao, Ji ^{[1
,2
,4
]}

Wang, Xueliang ^{[1
,2
,4
]}

Gu, Xuekang ^{[1
,2
,4
]}

Wu, Wenhua ^{[3
]}

Chen, Haozheng ^{[1
,2
,4
]}

机构：

[1] China Ship Sci Res Ctr, Wuxi, Jiangsu, Peoples R China

[2] Taihu Lab Deepsea Technol Sci, Wuxi, Jiangsu, Peoples R China

[3] Dalian Univ Technol, Dept Engn Mech, Dalian, Liaoning, Peoples R China

[4] Natl Key Lab Ship Struct Safety, Wuxi, Jiangsu, Peoples R China

来源：

OCEAN ENGINEERING | 2024年 / 309卷

关键词：

Anomaly-locating; Underwater mooring system; DSAE; Fine-tuning; Damage degree; PREDICTION;

D O I：

10.1016/j.oceaneng.2024.118443

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Aiming at the difficulty of anomaly locating of the underwater mooring system, this paper develops an anomalylocating algorithm based on the Deep Stark Auto-encoder (DSAE) network. Specifically, based on the real design parameters of a semi-submersible platform, a hydrodynamic model was established. Damage degrees of 5%was selected based on the DNV standard. The analysis of the responses was carried out when the anchor chain was damaged in different positions. Then an anomaly-locating model was established based on the DSAE method. The locating accuracy reached 99.13%. In contrast, the complete states were recognized as the damaged state. Furthermore, the established model was retrained by the fine-tuning operation. The locating accuracy reached 100% which can guide the safe service of the platform.

引用

页数：9

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