Spatial frequency multiplexing of optical fiber sensor arrays

Hu, Yuanyu; Chen, S.

doi:10.1364/ol.20.001207

Cited by 12 publications

(6 citation statements)

References 4 publications

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“…Nevertheless, among the different types of sensors that can be interrogated in remote fiber networks, FBGs have been the most employed for their advantageous properties [171][172][173][174][175][176][177]. Not only because they present the inherent advantages of FOS, but because their simplicity and versatility make them stand out from another type of sensors.…”

Section: Resultsmentioning

confidence: 99%

Truly remote fiber optic sensor networks

Soto

López-Amo

2019

J. Phys. Photonics

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An overview of truly remote fiber optic sensors is presented in this work. It starts with a brief introduction of fiber optic sensor networks, showing their advantages and multiple applications. Then, the definition of truly remote networks is provided, and their main challenges discussed, such as increasing the sensing distance and the number of sensors interrogated. Several multiplexing techniques have been compared, such as wavelength, time and coherence division multiplexing. In relation to this, the most recent works showing multi wavelength fiber lasers for wavelength division multiplexing have been grouped and their versatility analyzed. Finally, recent and relevant truly remote fiber optic networks have been gathered and some of the most representative schemes explained in detail, comparing their multiplexing capability and the remoteness of the monitored sensors. Random distributed feedback fiber lasers form part of a number of these schemes, proving the suitability of this type of lasers for their use in ultra-long truly remote sensing applications.

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Section: Resultsmentioning

confidence: 99%

Truly remote fiber optic sensor networks

Soto

López-Amo

2019

J. Phys. Photonics

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“…The spatial frequency multiplexing technique proposed in [ 91 ], explores a digital imaging processing technique to greatly reduce the number of fiber optic devices in the network and simplify the system architecture. In this system, several sensing fibers are connected to a cabled fiber bundle (coupler) that carries light to a Fourier transform lens, which allows an image to be sampled by a linear CCD array (converts an optical image into an analog signal).…”

Section: Optical Fiber Sensing Networkmentioning

confidence: 99%

Optical Fiber Sensors and Sensing Networks: Overview of the Main Principles and Applications

Pendão

Silva

2022

Sensors

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Optical fiber sensors present several advantages in relation to other types of sensors. These advantages are essentially related to the optical fiber properties, i.e., small, lightweight, resistant to high temperatures and pressure, electromagnetically passive, among others. Sensing is achieved by exploring the properties of light to obtain measurements of parameters, such as temperature, strain, or angular velocity. In addition, optical fiber sensors can be used to form an Optical Fiber Sensing Network (OFSN) allowing manufacturers to create versatile monitoring solutions with several applications, e.g., periodic monitoring along extensive distances (kilometers), in extreme or hazardous environments, inside structures and engines, in clothes, and for health monitoring and assistance. Most of the literature available on this subject focuses on a specific field of optical sensing applications and details their principles of operation. This paper presents a more broad overview, providing the reader with a literature review that describes the main principles of optical sensing and highlights the versatility, advantages, and different real-world applications of optical sensing. Moreover, it includes an overview and discussion of a less common architecture, where optical sensing and Wireless Sensor Networks (WSNs) are integrated to harness the benefits of both worlds.

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“…This opens up the opportunity for extending multiplexing capability beyond WDM. In recent years there have been many novel multiplexing schemes proposed [8]- [14], and most of them can be collectively classified as SCM.…”

Section: Spectrally Coded Multiplexingmentioning

confidence: 99%