Distributed and Multiplexed Fiber Optic Sensors

Kersey, Alan D.

doi:10.1002/9781118014103.ch11

Cited by 15 publications

(11 citation statements)

References 53 publications

(62 reference statements)

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“…where L is the distance between the scattering point and the injection point of the fiber, t is the time at which it returns to the injection point, c is the speed of light in the vacuum and n is the refractive index of the optical fiber. Therefore, it can get the information at different positions by measuring the echoes at different times [6] .…”

Section: B Optic Time Domain Reflectometrymentioning

confidence: 99%

Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Liu¹,

Lei²,

Wei³

et al. 2012

2012 Symposium on Photonics and Optoelectronics

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The principle and design of the distributed optical fiber temperature sensing system based on Raman scattering is presented in this paper. The spatial resolution is enhanced by reducing the pulse width of the light source and high speed progressive average etc. The distributed optical fiber sensor not only has the characteristics of resistance to electromagnetic interfere, against fire and so on, but also it can sense the change of temperature along the optical fiber by the form of continuous distance. Because of its ascendency and the augmented performance, This paper also introduces the example used in coal mine goaf temperature monitoring and data analysis. Keywords-Distributed optical fiber temperature sensing system; Raman scattering; Stokes and anti-Stokes; Optic time domain reflectometry(OTDR); Coal mine goaf I.

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Section: B Optic Time Domain Reflectometrymentioning

confidence: 99%

Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Liu¹,

Lei²,

Wei³

et al. 2012

2012 Symposium on Photonics and Optoelectronics

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“…Here we have focused on multiplexed systems where many sensors can be readily incorporated in a single optical fiber. These include the optical scattering approaches that rely on Rayleigh, Raman, or Brillouin scattering where the fiber itself is the sensor and the limits on multiplexing lie in the time duration of the light pulse or the capabilities of the digitizer (Kersey, 1991). The other main type of fiber optic sensor is the FBGs where sensors are manufactured into the fiber at specific locations, with predetermined capabilities such as length and wavelength (Kersey et al, 1997).…”

Section: Current Capabilities and Needsmentioning

confidence: 99%

Workshop on transitioning structural health monitoring technology to military platforms

Seaver

Chattopadhyay

Papandreou-Suppapola

et al. 2012

Journal of Intelligent Material Systems and Structures

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Interest in structural health monitoring/management is attracting lots of attention across a spectrum that ranges from sensor developers to end users. The US military, in particular, is making a concerted effort to implement condition-based maintenance as a means of reducing the life cycle costs and improving availability of various weapon platforms. Despite this effort, the majority of installed health monitoring systems are limited to rotating machinery such as engines, transmissions, and other gear boxes. The goal of this workshop was to bring together representatives from military, industry, and academia covering the spectrum from hardware developers to end users and platform managers and have them discuss issues that must be addressed as structural health monitoring systems mature to the point that managers will implement them. This article describes those discussions and highlights important issues that need to be addressed as structural health monitoring systems make the transition from laboratory scale demonstrations to real-world use.

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“…Fiber Bragg grating (FBG) sensor offers a number of advantages over traditional sensor, including immunity to electromagnetic interference, being light weight and durable, having small size, incorporating multiplexing capabilities, and is easy to install [8][9][10][11][12][13][14]. Due to the above attractive application features, FBG sensors have been playing an increasingly important role in the sensing community and have been widely used in structural health monitoring, damage detection, aviation, and other fields [15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

An Improved Negative Pressure Wave Method for Natural Gas Pipeline Leak Location Using FBG Based Strain Sensor and Wavelet Transform

Hou

Ren

Jiao

et al. 2013

Mathematical Problems in Engineering

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Methods that more quickly locate leakages in natural gas pipelines are urgently required. In this paper, an improved negative pressure wave method based on FBG based strain sensors and wavelet analysis is proposed. This method takes into account the variation in the negative pressure wave propagation velocity and the gas velocity variation, uses the traditional leak location formula, and employs Compound Simpson and Dichotomy Searching for solving this formula. In addition, a FBG based strain sensor instead of a traditional pressure sensor was developed for detecting the negative pressure wave signal produced by leakage. Unlike traditional sensors, FBG sensors can be installed anywhere along the pipeline, thus leading to high positioning accuracy through more frequent installment of the sensors. Finally, a wavelet transform method was employed to locate the pressure drop points within the FBG signals. Experiment results show good positioning accuracy for natural gas pipeline leakage, using this new method.

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Distributed and Multiplexed Fiber Optic Sensors

Cited by 15 publications

References 53 publications

Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Workshop on transitioning structural health monitoring technology to military platforms

An Improved Negative Pressure Wave Method for Natural Gas Pipeline Leak Location Using FBG Based Strain Sensor and Wavelet Transform

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