RETRACTED ARTICLE: Monitoring method based on GIS for submarine cable fault data

Yanhui, Cheng

doi:10.1007/s12517-021-06717-z

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…On the other hand, the uneven seabed gully is affected by natural disasters such as typhoons, tsunamis, etc. By referring to literatures [30]- [33], we determine three typical fault events of optical fiber composite submarine cables for the detection, i.e., the anchor hit, rock friction and ocean scour:…”

Section: The Vmd and Attention Mechanism Based Bi-lstm Modelmentioning

confidence: 99%

VMD and Self-attention Mechanism Based Bi-LSTM Model for Fault Detection of Optical Fiber Composite Submarine Cables

Feng

et al. 2022

Preprint

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As the main electrical equipment of offshore power grids, optical fiber composite submarine cables undertake the task of power transmission and data communication. In order to ensure the proper functioning of the submarine cable, it is necessary to analyze the working state of it and identify and locate the fault event. This paper proposes a fault detection method for submarine cables, that is, the VMD and self-attention based Bi-LSTM model. First, we use the ANSYS software to generate the vibration waveforms of three main fault events of optical fiber composite submarine cables. Then by generating the detection matrix of additive white gaussian noise (AWGN) and the vibration waveforms, it can realize the orientation and detection of fault events in single submarine cable. In addition, the vibration signal can be decomposed into IMF components using variational mode decomposition (VMD) for feature extraction. Moreover, the IMF components are input to the self-attention layer for feature fusion and Bi-LSTM module for further feature extraction. Finally, the result of the fault detection is output through the classification layer. According to the comparative experiment and ablation experiment, the proposed model has proved to outperform the other benchmark models and is robust and stable under the condition of different signal-to-noise ratios (SNRs).

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Section: The Vmd and Attention Mechanism Based Bi-lstm Modelmentioning

confidence: 99%

VMD and Self-attention Mechanism Based Bi-LSTM Model for Fault Detection of Optical Fiber Composite Submarine Cables

Feng

et al. 2022

Preprint

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Analysis of Three-Core Composite Submarine Cable Damage Due to Ship Anchor

Tan

et al. 2022

IEEE Access

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Suspended submarine cables are prone to likely mechanical damages due to ship anchors, which represent a significant threat to the reliability of power transmission and information communication networks. This paper is aimed at presenting a detailed investigation to the dynamic response of a ship anchor impacting the suspended section a submarine cable in order to reduce the risk of cable damage. In this regard, a three-dimensional and dual nonlinear model of the anchor affecting a subsea cable is established using ABAQUS finite element analysis software. The damage effect due to the ship anchor on the suspended and buried-in-soil sections of the cable is studied. Results show that when a ship anchor hits a suspended section of the subsea cable, the mechanical stress is concentrated at the impacted point and is progressing to both sides of the suspended section with a significant cable deformation. On the other hand, the buried section of the cable suffers from a short impact process, and the deformation is relatively small. To reduce this impact effectively, a detailed technical comparison of two common dumping and filling methods is conducted, and the better protection method is proposed.INDEX TERMS Composite submarine power cable; anchor fall impact; suspended cable and pipeline; throwing method; dent depth

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VMD and self-attention mechanism-based Bi-LSTM model for fault detection of optical fiber composite submarine cables

Wang

et al. 2023

EURASIP J. Adv. Signal Process.

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As the main electrical equipment of offshore power grids, optical fiber composite submarine cables undertake the task of power transmission and data communication. In order to ensure the proper functioning of the submarine cable, it is necessary to analyze the working state of it and identify the fault event. This paper proposes a fault detection method for submarine cables, that is, the VMD and self-attention-based Bi-LSTM model. First, we use ANSYS software to generate the vibration waveforms of three main fault events of optical fiber composite submarine cables. Then, by generating the detection matrix of background noise and the vibration waveforms, it can realize the orientation and detection of fault events in single submarine cable. In addition, the vibration signal can be decomposed into IMF components using variational mode decomposition (VMD) for feature extraction. Moreover, the IMF components are input to the self-attention layer for feature fusion and Bi-LSTM module for further feature extraction. Finally, the result of the fault detection is output through the classification layer. According to the comparative experiment and the ablation experiment, the proposed model has proved to outperform the other benchmark models and is robust and stable under the condition of different signal-to-noise ratios.

show abstract

RETRACTED ARTICLE: Monitoring method based on GIS for submarine cable fault data

Cited by 3 publications

References 27 publications

VMD and Self-attention Mechanism Based Bi-LSTM Model for Fault Detection of Optical Fiber Composite Submarine Cables

VMD and Self-attention Mechanism Based Bi-LSTM Model for Fault Detection of Optical Fiber Composite Submarine Cables

Analysis of Three-Core Composite Submarine Cable Damage Due to Ship Anchor

VMD and self-attention mechanism-based Bi-LSTM model for fault detection of optical fiber composite submarine cables

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