AI detector flags subsea cable contacts using polarization monitoring

Researchers have developed a novel unsupervised detection method for physical contacts on subsea cables using state-of-polarization monitoring. This Fast-Slow DSVDD detector, trained without labeled event data, successfully identified all five known trawler contacts within the top 13 of over 122,000 recordings. The system also flagged additional corroborated cable-contact events, offering a promising new tool for subsea cable monitoring and maintenance. AI

IMPACT This unsupervised detection method could improve the reliability and reduce maintenance costs for critical subsea infrastructure.

RANK_REASON The item is an academic paper published on arXiv detailing a new detection method. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• cable-contact events
• CatalyzeX
• CORE Recommender
• DagsHub
• Fast-Slow DSVDD
• Gotit.pub
• Hugging Face
• Recordings and Transcripts of Telephone Conversations and Meetings (NAID 1150)
• ScienceCast
• State of polarization tracking recovery method and apparatus
• Subsea cable system and a method for supplying electrical power to a subsea device
• trawler contacts

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