Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106963
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Title: Simultaneous temperature and strain measurement using deep neural networks for BOTDA sensing system
Authors: Wang, B 
Wang, L
Yu, C 
Lu, C 
Issue Date: 2018
Source: Optical Fiber Communication Conference, OSA Technical Digest (online) (Optica Publishing Group, 2018), paper Th2A.66
Abstract: 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.
Publisher: Optica Publishing Group
ISBN: 978-1-943580-38-5
DOI: 10.1364/OFC.2018.Th2A.66
Description: Optical Fiber Communication Conference 2018, San Diego, California United States, 11-15 March 2018
Rights: © 2018 The Author(s)
The following publication B. Wang, L. Wang, C. Yu, and C. Lu, "Simultaneous Temperature and Strain Measurement Using Deep Neural Networks for BOTDA Sensing System," in Optical Fiber Communication Conference, OSA Technical Digest (online) (Optica Publishing Group, 2018), paper Th2A.66 is available at https://doi.org/10.1364/OFC.2018.Th2A.66.
Appears in Collections:Conference Paper

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