Invention Grant
- Patent Title: Contrastive learning of utility pole representations from distributed acoustic sensing signals
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Application No.: US17714091Application Date: 2022-04-05
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Publication No.: US11698290B2Publication Date: 2023-07-11
- Inventor: Shaobo Han , Yue Tian , Sarper Ozharar , Yangmin Ding , Ting Wang
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G01H9/00
- IPC: G01H9/00

Abstract:
Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.
Public/Granted literature
- US20220381607A1 CONTRASTIVE LEARNING OF UTILITY POLE REPRESENTATIONS FROM DISTRIBUTED ACOUSTIC SENSING SIGNALS Public/Granted day:2022-12-01
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