Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/641298
Title: An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor
Authors: Tao Wang;Tiegen Liu;Kun Liu;Junfeng Jiang;Lin Yu;Meng Xue;Yunxia Meng
subject: temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)
Year: 2016
Publisher: IEEE
Abstract: We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.
Description: 
URI: http://localhost/handle/Hannan/175450
http://localhost/handle/Hannan/641298
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

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Title: An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor
Authors: Tao Wang;Tiegen Liu;Kun Liu;Junfeng Jiang;Lin Yu;Meng Xue;Yunxia Meng
subject: temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)
Year: 2016
Publisher: IEEE
Abstract: We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.
Description: 
URI: http://localhost/handle/Hannan/175450
http://localhost/handle/Hannan/641298
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7466077.pdf948.54 kBAdobe PDFThumbnail
Preview File
Title: An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor
Authors: Tao Wang;Tiegen Liu;Kun Liu;Junfeng Jiang;Lin Yu;Meng Xue;Yunxia Meng
subject: temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)
Year: 2016
Publisher: IEEE
Abstract: We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.
Description: 
URI: http://localhost/handle/Hannan/175450
http://localhost/handle/Hannan/641298
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7466077.pdf948.54 kBAdobe PDFThumbnail
Preview File