Laser & Optoelectronics Progress, Volume. 58, Issue 13, 1306022(2021)
Advances of Machine Learning in Brillouin Optical Time Domain Analysis Sensing Systems for Temperature Extraction
Brillouin optical time domain analysis (BOTDA) has shown its unique advantages in distributed optical fiber sensing systems and has received widespread attention. The rapid and accurate extraction of temperature distribution information in BOTDA sensing system is extremely desirable. With the rapid development of machine learning, it shows great potential in temperature extraction of BOTDA sensing system. First, the principle of BOTDA sensing system is introduced. Then, some machine learning algorithms are illustrated and their applications and advantages for temperature extraction of BOTDA sensing system are analyzed. Finally, outlook for future research is given.
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Zhilong Li, Weihua Zhang, Yimin Wang, Yufeng Zhang, Bin Luo, Hongna Zhu. Advances of Machine Learning in Brillouin Optical Time Domain Analysis Sensing Systems for Temperature Extraction[J]. Laser & Optoelectronics Progress, 2021, 58(13): 1306022
Category: Fiber Optics and Optical Communications
Received: Jan. 22, 2021
Accepted: Mar. 22, 2021
Published Online: Jul. 5, 2021
The Author Email: Zhang Weihua (whzhang@nudt.edu.cn), Zhu Hongna (hnzhu@swjtu.edu.cn)