Recognition and Classification Method for Fiber Optical Vibration Signal Using AdaBoost Ensemble Learning

Hongquan Qu; Xiang Ji; Zhiyong Sheng; Hongbin Qu; Ling Wang

doi:10.3788/LOP202259.1307004

Laser & Optoelectronics Progress, Volume. 59, Issue 13, 1307004(2022)

Recognition and Classification Method for Fiber Optical Vibration Signal Using AdaBoost Ensemble Learning

Hongquan Qu^1、*, Xiang Ji¹, Zhiyong Sheng¹, Hongbin Qu², and Ling Wang³

Author Affiliations

¹School of Information Science and Technology, North China University of Technology, Beijing 100144, China

²International Business Department, China Petroleum Pipeline Bureau Engineering Co., Ltd, Langfang 065000, Hebei , China

³Asia Pacific Branch of China Petroleum Pipeline Bureau Engineering Co., Ltd.Langfang 065000, Hebei , China

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References(1)

[2] Liu T G, Liu K, Dai L et al. Research progress of key technologies in recognition sensing for opto-electronic information and event[J]. Acta Optica Sinica, 41, 0106002(2021).

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Hongquan Qu, Xiang Ji, Zhiyong Sheng, Hongbin Qu, Ling Wang. Recognition and Classification Method for Fiber Optical Vibration Signal Using AdaBoost Ensemble Learning[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1307004

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Paper Information

Category: Fourier Optics and Signal Processing

Received: Aug. 2, 2021

Accepted: Sep. 10, 2021

Published Online: Jun. 9, 2022

The Author Email: Hongquan Qu (qhqphd@ncut.edu.cn)

DOI:10.3788/LOP202259.1307004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology