Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis

Chen Zhu

doi:10.1364/AIS.2023.JTu4A.31

Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis

Chen Zhu

Zhejiang Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023
Publisher	Optical Society of America
ISBN (Electronic)	9781957171241
DOIs	https://doi.org/10.1364/AIS.2023.JTu4A.31 https://doi.org/10.1364/HMISE.2023.JTu4A.31
State	Published - 2023
Externally published	Yes
Event	Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023 - Munich, Germany Duration: Jul 30 2023 → Aug 3 2023

Publication series

Name	Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023

Conference

Conference	Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023
Country/Territory	Germany
City	Munich
Period	7/30/23 → 8/3/23

ASJC Scopus Subject Areas

General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation

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Zhu, C. (2023). Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis. In Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 (Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023). Optical Society of America. https://doi.org/10.1364/AIS.2023.JTu4A.31, https://doi.org/10.1364/HMISE.2023.JTu4A.31

Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis. / Zhu, Chen.
Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023. Optical Society of America, 2023. (Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhu, C 2023, Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis. in Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023. Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023, Optical Society of America, Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany, 7/30/23. https://doi.org/10.1364/AIS.2023.JTu4A.31, https://doi.org/10.1364/HMISE.2023.JTu4A.31

Zhu C. Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis. In Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023. Optical Society of America. 2023. (Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023). doi: 10.1364/AIS.2023.JTu4A.31, 10.1364/HMISE.2023.JTu4A.31

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title = "Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis",

author = "Chen Zhu",

note = "Publisher Copyright: {\textcopyright} 2023 The Author (s).; Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023 ; Conference date: 30-07-2023 Through 03-08-2023",

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PY - 2023

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M3 - Conference contribution

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T3 - Applied Industrial Spectroscopy in Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023

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PB - Optical Society of America

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ER -

Optical Fiber Vector Bending Sensor Based on Machine Learning Analysis

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Conference

ASJC Scopus Subject Areas

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