Distributed vibration and temperature simultaneous sensing using one optical fiber

Zhou, Zhen; Tian, Li; Han, Yongqin; Yang, Xinghai; Liao, Feng; Zhang, Dawei; Sha, Yushan; Feng, Xi‐Qiao; Zhu, Juehua; Zheng, Xianfeng; Cui, Zhifeng; Qu, Jun; Xu, Xiaofeng; Tao, Tianbao; Yuan, Yangsheng

doi:10.1016/j.optcom.2021.126801

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…Fiber optic sensors, such as fiber optic sensors, have advantages such as light weight, small size, high temperature resistance, corrosion resistance, and resistance to electromagnetic interference. They can largely overcome the influence of environmental factors, accurately monitor various parameters of aircraft structures, and timely judge and prevent accidents from occurring [8,9].…”

Section: Fiber Optic Sensing Technologymentioning

confidence: 99%

Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm

Zhang,

Xi,

Zhang

2024

Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023)

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Fiber optic sensors due to their advantages such as light weight, small size, high temperature resistance, corrosion resistance, and electromagnetic interference resistance, can largely overcome the influence of environmental factors, accurately monitor various parameters of aircraft, and timely judge and prevent accidents. Therefore, they are suitable for parameter monitoring of unmanned aerial vehicles. In the working state of unmanned aerial vehicles, optical fibers are easily affected by axial forces, which in turn affects the accuracy and stability of fiber optic sensors in monitoring aircraft parameters. This study applies genetic algorithm to establish a mathematical model for the axial force on optical fibers. The algorithm is implemented through steps such as determining decision variables and constraints, establishing an optimization model, encoding, decoding, selection, crossover, mutation, and population iteration. Finally, by changing different parameter values for simulation analysis, the optimal approximate solution of the center wavelength value when the fiber optic is subjected to axial force was obtained. This effectively adjusts the fiber optic sensing system, improves the real-time, accuracy, and stability of unmanned aerial vehicle parameter monitoring, and has good application value and promotion significance.

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Section: Fiber Optic Sensing Technologymentioning

confidence: 99%

Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm

Zhang,

Xi,

Zhang

2024

Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023)

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“…The pulse light propagating forward in the optical fiber produces Rayleigh backscattering light, in which interference effects will occur within one pulse period. The interference effects can be simulated by a simple discrete model [ 20 , 21 ], as shown in Figure 3 .…”

Section: Theory Of Optical Fiber Rayleigh Backscattering Light Interf...mentioning

confidence: 99%

Distributed Partial Discharge Locating and Detecting Scheme Based on Optical Fiber Rayleigh Backscattering Light Interference

Zhou

Liu

Zhang

et al. 2023

Sensors

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Optical fiber sensors are used for partial discharge detection in many applications due their advantage of strong anti-electromagnetic interference capability. Multi-point distributed partial discharge detection and location are important for electrical equipment. In this paper, a distributed partial discharge location and detection scheme based on optical fiber Rayleigh backscattering light interference is experimentally demonstrated. At the same time, the location and extraction algorithm is used to demodulate the partial discharge signal; furthermore, the high-pass filter is used to reduce the system low-frequency noise and environment noise. It is clear that the proposed system can detect a partial discharge signal generated by metal needle sensitivity, and the detectable frequency range is 0–2.5 kHz. We carried out 10 locating tests for two sensing units, the experimental results show that the maximum location error is 1.0 m, and the maximum standard deviation is 0.3795. At same time, the signal-to-noise ratio (SNR) of sensing unit 1 and sensing unit 2 are greatly improved after demodulation, which are 39.7 and 38.8, respectively. This provides a new method for a multipoint-distributed optical fiber sensor used for detecting and locating a long-distance electrical equipment partial discharge signal.

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“…Different temperature demodulation methods based on the application requirements. Despite the simplicity and ease of installation of the single-channel demodulation system, its pulsed source needs to be completely stable, and the attenuation properties of the sensing fiber must remain unchanged in the long-term temperature measurement process 62 . Due to this limitation, it has not been widely used in engineering applications.…”

Section: Principles and Limitationsmentioning

confidence: 99%

“…However, the SNR of the system becomes relatively poor after the introduction of the Raman Stokes signal 63 . The comparison of these two temperature demodulation techniques is presented in detail in Table 1 62 – 64 .…”

Section: Principles and Limitationsmentioning

confidence: 99%

Physics and applications of Raman distributed optical fiber sensing

Zhang

2022

Light Sci Appl

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Raman distributed optical fiber sensing has been demonstrated to be a mature and versatile scheme that presents great flexibility and effectivity for the distributed temperature measurement of a wide range of engineering applications over other established techniques. The past decades have witnessed its rapid development and extensive applicability ranging from scientific researches to industrial manufacturing. However, there are four theoretical or technical bottlenecks in traditional Raman distributed optical fiber sensing: (i) The difference in the Raman optical attenuation, a low signal-to-noise ratio (SNR) of the system and the fixed error of the Raman demodulation equation restrict the temperature measurement accuracy of the system. {ii) The sensing distance and spatial resolution cannot be reconciled. (iii) There is a contradiction between the SNR and measurement time of the system. (iv) Raman distributed optical fiber sensing cannot perform dual-parameter detection. Based on the above theoretical and technical bottlenecks, advances in performance enhancements and typical applications of Raman distributed optical fiber sensing are reviewed in this paper. Integration of this optical system technology with knowledge based, that is, demodulation technology etc. can further the performance and accuracy of these systems.

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Distributed vibration and temperature simultaneous sensing using one optical fiber

Cited by 11 publications

References 17 publications

Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm

Simulation analysis of axial force on optical fibers in unmanned aerial vehicles based on genetic algorithm

Distributed Partial Discharge Locating and Detecting Scheme Based on Optical Fiber Rayleigh Backscattering Light Interference

Physics and applications of Raman distributed optical fiber sensing

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