Research on risk assessment method of steel catenary riser based on information fusion

Yang, Ping; Jia, Lina; Kang, Zhuang; Kang, Jichuan

doi:10.1016/j.oceaneng.2022.111890

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Peijie Yang used the RBF technique, wavelet analysis theory and D-S evidence theory, and other related techniques for rocket engine fault diagnosis to realize the decision layer information fusion of a wavelet neural network. The method is more suitable for the analysis of this type of engine fault diagnosis [15]. Because wavelet neural networks have good local analysis capability and fusion characteristics, the D-S wavelet neural network was chosen for the study, and the results were experimentally verified to make the accuracy of engine fault diagnosis much better [16].…”

Section: Introductionmentioning

confidence: 99%

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Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Xiao

2023

Applied Mathematics and Nonlinear Sciences

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With the rapid development and updating of information technology and the gradual increase of economic and social influence, the Chinese language, as an important discipline in China’s higher education, has undergone a great transformation in its teaching conditions and teaching environment in the information age. To obtain more reliable information and better reform and innovation, this paper analyzes the machine model established based on information fusion and investigates the employment situation of Chinese language and literature graduates in university colleges and universities in the past five years to analyze the improvement of employment under the information fusion model establishment. The results show that the teaching process of Chinese language and literature can be well optimized through the machine learning model and is no longer homogeneous compared with the traditional teaching process of Chinese language and literature. The information fusion model can provide a certain degree of help in the employment of students in this major. Therefore, the introduction of information fusion technology is indispensable in the process of reform and innovation of the Chinese language and literature, and schools should also increase relevant courses and policies to encourage college students to actively cooperate with the reform and practice process.

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Section: Introductionmentioning

confidence: 99%

“…1(10) Xiao Zeng. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] …”

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Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Xiao

2023

Applied Mathematics and Nonlinear Sciences

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Intelligent Optimization of Ultra-Deepwater Oil Transmission Risers Using an Enhanced Graph Neural Network

Zhu,

Yang,

Xue

et al. 2024

Day 1 Mon, May 06, 2024

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With the continuous global demand for oil and advances in deepwater drilling technology, the development of deepwater oil and gas resources has become increasingly important. Steel catenary risers play a crucial role in connecting subsea and surface facilities. However, complex marine conditions in ultra-deepwater environments pose significant challenges to the design of SCRs. To achieve efficient and reliable operation of SCRs under these extreme conditions, this study proposes an intelligent optimization design method based on enhanced Graph Neural Networks. Initially, considering the structural characteristics of the SCR dataset, graph data features comprising various nodes were constructed. Subsequently, an enhanced GNN model was obtained through cross-validation and Bayesian hyperparameter optimization, incorporating Graph Attention Networks with pooling layers, which achieved exceptional results in predicting dynamic responses of SCRs. Utilizing this model, multi-objective intelligent optimization of SCRs in the South China Sea region was conducted, and the optimization effects were validated through simulation. The results show a reduction of 26.76% in maximum top tension and 24.15% in Max Von Mises at the touchdown point, with wave-induced fatigue life and vortex-induced motion fatigue life improved by 24.31% and 63.16%, respectively. This research demonstrates that enhanced GNNs can efficiently learn the data relationships between different node features of SCRs and realize their effective optimization under extreme marine conditions, offering a reliable optimization design solution for ultra-deepwater oil and gas resource development. This approach opens new avenues for the optimization design of other marine structures.

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Research on risk assessment method of steel catenary riser based on information fusion

Cited by 2 publications

References 26 publications

Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Intelligent Optimization of Ultra-Deepwater Oil Transmission Risers Using an Enhanced Graph Neural Network

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