Improving the Performance of FBG Sensors in a WDM Network Using a Simulated Annealing Technique

Shi, Cheng; Zeng, Nan; Chan, Chi Chiu; Liao, Yanbiao; Jin, Wei; Zhang, L.

doi:10.1109/lpt.2003.820105

Cited by 18 publications

(22 citation statements)

References 3 publications

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“…Since SaNSDE+ is a randomized algorithm and may not guarantee the exactly same solution with different initializations (note that this fact applies to those previous techniques that have been applied to wavelength detection problem, such as Genetic Algorithm [2], [3], Simulated Annealing [8] and TS-DMS-PSO [4]), we applied SaNSDE+ to each step for 25 independent runs. With the average value and standard deviation for FBG1 and FBG2, it can be observed that the average value for both sensors are the same as their real values as shown in Fig.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm

Liu

Tang

Yang³

et al. 2011

IEEE Photon. Technol. Lett.

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A novel improved differential evolution (DE) algorithm, named self-adaptive neighborhood search differential evolution plus (SaNSDE+), is used to solve the wavelength detection problem in the wavelength-division-multiplexing (WDM) fiber Bragg grating (FBG) sensor network. The incorporation of the self-adaptive strategy results in an increased accuracy and detection speed for the conventional peak detection (CPD) technique in the FBG sensor network.Index Terms-Differential evolution (DE), fiber Bragg gratings (FBGs), fiber-optic sensors, wavelength-division multiplexing (WDM).

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Section: Simulation and Experimental Resultsmentioning

confidence: 99%

A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm

Liu

Tang

Yang³

et al. 2011

IEEE Photon. Technol. Lett.

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“…Simulated annealing technique can identify parallel high‐reflectance gratings working in the same wavelength range by the method of constructing spectrums [6]. A parallel connection can avoid the crosstalk between gratings, but it is less common than a serial connection in practice.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of FBG multiplexing capacity by the improved constructing spectrum method

Zhao

2011

Micro & Optical Tech Letters

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A method for multiplexing series FBG sensors, called the improved constructing spectrum method, is proposed. This method which does not ignore effects of spectral shadowing and multiple reflections can identify two serial high-reflectance gratings working in the same channel. Thus the multiplexing capability of the sensing system is double. Figure 5 Radiation patterns of the C ¼ 1 pF case measured at 5240 MHz. (a) x-z plane (b) y-z plane

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“…The present code scheme allows the total bandwidth occupied by the whole spectral codes to increase only linearly as the number of sensors and also removes such degenerate situations that two or more sensors become indistinguishable when they were subjected to the disturbance of the same measurand value. The simulated annealing algorithm has been employed for the demultiplexing of overlapped reflection spectrums [6][7][8]. The proposed spectral tag multiplexing scheme is explained in sec.…”

Section: Introductionmentioning

confidence: 99%

Improved spectral tag method for FBG sensor multiplexing with equally spaced spectral codes and simulated annealing algorithm

et al. 2009

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We propose a multiplexing scheme for an FBG sensor system on the basis of wavelength division multiplexing (WDM). Each double grating sensor is assigned with a unique spectral tag of two different Bragg wavelengths. The simulated annealing algorithm was employed for the demultiplexing procedure of identifying spectral peaks in the measured reflection spectrum of the FBG sensor system. The peak detection accuracy was as good as 0.6 pm for overlapped spectral peaks in the simulated reflection spectrum. An array of four FBG strain sensors was tested experimentally and the maximum measurement error was 9.1 με.

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Improving the Performance of FBG Sensors in a WDM Network Using a Simulated Annealing Technique

Cited by 18 publications

References 3 publications

A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm

A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm

Enhancement of FBG multiplexing capacity by the improved constructing spectrum method

Improved spectral tag method for FBG sensor multiplexing with equally spaced spectral codes and simulated annealing algorithm

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