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77 / 2022-06-30 15:11:42
Separation Method of Submarine Cable Fault Vibration Signals Based on EEMD-SVD-JADE
Submarine cable; Optical fiber vibration sensing technology; Variational modal decomposition (VMD); Singular value decomposition (SVD); Second order blind identification (SOBI)
High Voltage and Insulation Technology > Sensing, monitoring, and diagnostics
Final Paper
Rong Xia / China Electric Power Research Institute Co., Ltd
Benhong Ouyang / China Electric Power Research Institute Co., Ltd
Kai Hu / State Grid Zhejiang Electric Power Co., Ltd., Zhoushan power supply company
Jianjun Yuan / China Electric Power Research Institute Co., Ltd.
Zongxi Liu / China Electric Power Research Institute Co., Ltd.
Xinlong Zheng / State Grid Zhejiang Electric Power Co., Ltd., Zhoushan power supply company
Distributed optical fiber vibration sensing technology has been widely used to detect the fault of optical fiber composite submarine cable. Submarine cables are often damaged by anchor smashing, anchor dragging and wave scouring during operation. The vibration signals collected by optical fiber sensors usually show the mutual coupling of multiple fault vibration signals, so it is difficult to directly identify the types of fault vibrations. In order to separate vibration signals, a method based on EEMD-SVD-JADE for fault signal separation is proposed. After denoising the coupled fault vibration signals, the vibration signals are firstly decomposed by EEMD to obtain several modal components. The SVD method is used to calculate the modal component matrix to obtain the number of vibration sources contained in the signals. Then, the dominant components are selected according to the number of vibration sources, which are input into the JADE algorithm as virtual channel signals for separation. Finally, the single source fault vibration signals are obtained. The validity and feasibility of the algorithm are verified by evaluating the consistency between the separated signals and the analog signals; By analyzing the separation effect of the algorithm under different signal combinations and different signal-to-noise ratios, it is proved that the algorithm has high stability; Field tests were carried out on the submarine cable operation site, and multiple groups of fault vibration signals were collected for separation and verification. The experimental results show that SVD can accurately estimate the number of vibration sources of submarine cable fault vibration signals, and single source fault vibration signals can be quickly separated through JADE algorithm. The separation results can help to realize the accurate identification of submarine cable fault types. 
Important Date

  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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Huazhong University of Science and Technology
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