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Simultaneous Temperature and Strain Measurement Using Deep Neural Networks for BOTDA Sensing System
Conference proceeding

Simultaneous Temperature and Strain Measurement Using Deep Neural Networks for BOTDA Sensing System

Biwei Wang, Liang Wang, Changyuan Yu and Chao Lu
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1
01/01/2018

Abstract

Communication systems Neural networks Optical communication Optical fibers Strain measurement
Conference Title: 2018 Optical Fiber Communications Conference and Exhibition (OFC) Conference Start Date: 2018, March 11 Conference End Date: 2018, March 15 Conference Location: San Diego, CA, USA DNN is used for the first time in simultaneous measurement of temperature and strain along a large-effective-area fiber (LEAF) in a BOTDA system with short processing time.

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