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Bayesian-based water leakage detection with a novel multisensor fusion method in a deep manned submersible
Pan YJ(潘怡君)1,2; Zheng ZY(郑泽宇)1,2,3; Fu DZ(付殿峥)1,2
Department数字工厂研究室
Source PublicationAPPLIED OCEAN RESEARCH
ISSN0141-1187
2021
Volume106Pages:1-11
Indexed BySCI
WOS IDWOS:000614521900003
Contribution Rank1
Funding OrganizationNational Key Research and Development Project [2018YFF0214704] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [7167010748]
KeywordInformation fusion Bayesian Sparse representation Deep manned submersible Water leakage detection
Abstract

Labeling the observations collected from the deep manned submersible is time-consuming and difficult, and traditional water leakage detection method is supervised. The online and unsupervised water leakage detection methods are necessary but barely researched. In this paper, a multisensor fusion method based on the sparse representation is proposed, and the unsupervised Bayesian-based online diagnostic technique is adopted for water leakage detection in the deep manned submersible. (1) Construct a robust model: an improved sparse representation method is introduced for obtaining a coefficient matrix. (2) Obtain the variable relationship: a coefficient matrix fusion method using the correlation coefficients of the variables is developed. (3) Detect the water leakage: the online Bayesian change point detection method using the fusion data is attempted for water leakage detection. Finally, a numerical simulation and a real deep manned submersible are used to illustrate the power of the proposed method.

Language英语
WOS SubjectEngineering, Ocean ; Oceanography
WOS Research AreaEngineering ; Oceanography
Funding ProjectNational Key Research and Development Project[2018YFF0214704] ; National Natural Science Foundation of China[7167010748]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28343
Collection数字工厂研究室
Corresponding AuthorZheng ZY(郑泽宇)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Pan YJ,Zheng ZY,Fu DZ. Bayesian-based water leakage detection with a novel multisensor fusion method in a deep manned submersible[J]. APPLIED OCEAN RESEARCH,2021,106:1-11.
APA Pan YJ,Zheng ZY,&Fu DZ.(2021).Bayesian-based water leakage detection with a novel multisensor fusion method in a deep manned submersible.APPLIED OCEAN RESEARCH,106,1-11.
MLA Pan YJ,et al."Bayesian-based water leakage detection with a novel multisensor fusion method in a deep manned submersible".APPLIED OCEAN RESEARCH 106(2021):1-11.
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