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Yixin Zhang

Researcher at Nanjing University

Publications -  43
Citations -  507

Yixin Zhang is an academic researcher from Nanjing University. The author has contributed to research in topics: Optical time-domain reflectometer & Time domain. The author has an hindex of 11, co-authored 41 publications receiving 332 citations. Previous affiliations of Yixin Zhang include Chinese Ministry of Education.

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Improved Φ-OTDR Sensing System for High-Precision Dynamic Strain Measurement Based on Ultra-Weak Fiber Bragg Grating Array

TL;DR: In this article, an ultra-weak fiber Bragg grating array has been proposed to generate strong and controllable reflections while providing acceptable insertion loss in phase-sensitive optical time-domain reflectometry (Φ-OTDR).
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Active Compensation Method for Light Source Frequency Drifting in $\Phi $ -OTDR Sensing System

TL;DR: In this article, an active compensation method based on laser frequency sweep and cross-correlation calculation has been proposed to suppress the influence of light source frequency drifting (LSFD) in phase-sensitive optical time-domain reflectometry.
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A High Performance Distributed Optical Fiber Sensor Based on Φ-OTDR for Dynamic Strain Measurement

TL;DR: In this article, a high-performance distributed optical fiber sensor based on phase-sensitive optical time-domain reflectometry (Φ-OTDR) for dynamic strain measurement has been proposed.
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Development of Fully-Distributed Fiber Sensors Based on Brillouin Scattering

TL;DR: In this article, the progress on the development of Brillouin scattering based optical fiber sensors (BOFS) technology in Nanjing University is reviewed and the key technologies to make BOFS with ultra-long distance, high spatial resolution, and fast measuring speed are discussed and realized.
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Phi-OTDR Based On-Line Monitoring of Overhead Power Transmission Line

TL;DR: An Φ-OTDR based on-line monitoring scheme of Transmission line status is presented and experimentally proved for the first time, which gives an accurate description of transmission line status and provides strong support for early warning of transmission lines failures.