Investigation on Low Cost Optical Fiber Sensor Interrogator

Gong, Yiwei; Li, Ké; Zhang, Zhuo

doi:10.1134/s002044122106004x

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…They have the advantages of temperature insensitivity, high accuracy, low cost, and good stability [78]; however, SOFO sensor interrogators with high accuracy are costly [79]. Recently, a low-cost SOFO sensor interrogator has been proposed and constructed [79]. It has good measurement accuracy In recent years, there has been a great deal of research directed at improving the sensitivity of fiber optic FPI sensors [71,72].…”

Section: Single-point Fiber Optic Sensorsmentioning

confidence: 99%

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Fiber Optic Sensing Technology and Vision Sensing Technology for Structural Health Monitoring

Wang

Guo

Han

et al. 2023

Sensors

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Structural health monitoring is currently a crucial measure for the analysis of structural safety. As a structural asset management approach, it can provide a cost-effective measure and has been used successfully in a variety of structures. In recent years, the development of fiber optic sensing technology and vision sensing technology has led to further advances in structural health monitoring. This paper focuses on the basic principles, recent advances, and current status of applications of these two sensing technologies. It provides the reader with a broad review of the literature. It introduces the advantages, limitations, and future directions of these two sensing technologies. In addition, the main contribution of this paper is that the integration of fiber optic sensing technology and vision sensing technology is discussed. This paper demonstrates the feasibility and application potential of this integration by citing numerous examples. The conclusions show that this new integrated sensing technology can effectively utilize the advantages of both fields.

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Section: Single-point Fiber Optic Sensorsmentioning

confidence: 99%

Section: Single-point Fiber Optic Sensorsmentioning

confidence: 99%

Fiber Optic Sensing Technology and Vision Sensing Technology for Structural Health Monitoring

Wang

Guo

Han

et al. 2023

Sensors

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“…For the traditional quartz crystal fibre, Rayleigh scattering has the following characteristics [8,9]: (1) the frequency and wavelength of the scattered light are as same as the incident light. (2) The scattered light is inversely proportional to the fourth power of the incident light wavelength.…”

Section: Introductionmentioning

confidence: 99%

Research on vibration pattern recognition based on phase‐sensitive optical time domain reflectometry and voting fully convolution neural networks

Liao,

Li,

Gong

2024

IET Optoelectronics

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A method that combines phase‐sensitive optical time domain reflectometry with deep learning to construct new voting fully convolution neural networks (VoteFCNs) is proposed. Compared to the traditional convolutional network, the VoteFCN can be input with data of random size and requires less parameters so that the training speed can be improved greatly. The recognition results can be more accurate and more reliable if we use classification voting count and average recognition rate as the criteria to judge network training quality. At last, the training and identification were conducted by simulating such several disturbance events: walking, raining, climbing fence, hammering the ground optical fibre and normal outdoor environments. The results show that the average test accuracy of this method is about 93.4%.

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