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9 September 2019 Ship Cable Fault Info Acquisition Model Based on Auto Recognition
Chaoqiang Hu, Yingmin Huang, Zhanshan You
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Hu, C.-Q.; Huang, Y.-M., and You, Z.-S., 2019. Ship cable fault info acquisition model based on auto recognition. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 510–514. Coconut Creek (Florida), ISSN 0749-0208.

In the complex marine environment, the ship cable is prone to hitting many faults due to interlacing routing and harsh working conditions. It is required to troubleshoot the ship cables. Taking the ship ground cable fault as an example, this paper performs a simulation with the Hilbert-Huang Transform (HHT) that automatically identifies the cable faults, and builds a model to automatically acquire the information about cable faults. According the findings, it is found by analyzing two types of ship cables that the information about the faults occurred in the trunk or branch can be available from the peak positions. The simulation reveals that the current signal can well reflect the fault information about cables, based on which, the fault location of ship cables will be calculated. The study provides the clues to automatically identifying the ship cable faults with the information and modeling the information acquisition of cable faults.

©Coastal Education and Research Foundation, Inc. 2019
Chaoqiang Hu, Yingmin Huang, and Zhanshan You "Ship Cable Fault Info Acquisition Model Based on Auto Recognition," Journal of Coastal Research 94(sp1), 510-514, (9 September 2019).
Received: 5 February 2019; Accepted: 3 March 2019; Published: 9 September 2019

automatic recognition
cable fault
Marine environment
ship cable
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