Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/641298
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tao Wang | en_US |
dc.contributor.author | Tiegen Liu | en_US |
dc.contributor.author | Kun Liu | en_US |
dc.contributor.author | Junfeng Jiang | en_US |
dc.contributor.author | Lin Yu | en_US |
dc.contributor.author | Meng Xue | en_US |
dc.contributor.author | Yunxia Meng | en_US |
dc.date.accessioned | 2020-05-20T10:03:54Z | - |
dc.date.available | 2020-05-20T10:03:54Z | - |
dc.date.issued | 2016 | en_US |
dc.identifier.issn | 1943-0655 | en_US |
dc.identifier.other | 10.1109/JPHOT.2016.2564439 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/175450 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/641298 | - |
dc.description | en_US | |
dc.description.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. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.haspart | 7466077.pdf | en_US |
dc.subject | temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD) | en_US |
dc.title | An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor | en_US |
dc.type | Article | en_US |
dc.journal.volume | 8 | en_US |
dc.journal.issue | 3 | en_US |
dc.journal.title | IEEE Photonics Journal | en_US |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7466077.pdf | 948.54 kB | Adobe PDF | ![]() Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tao Wang | en_US |
dc.contributor.author | Tiegen Liu | en_US |
dc.contributor.author | Kun Liu | en_US |
dc.contributor.author | Junfeng Jiang | en_US |
dc.contributor.author | Lin Yu | en_US |
dc.contributor.author | Meng Xue | en_US |
dc.contributor.author | Yunxia Meng | en_US |
dc.date.accessioned | 2020-05-20T10:03:54Z | - |
dc.date.available | 2020-05-20T10:03:54Z | - |
dc.date.issued | 2016 | en_US |
dc.identifier.issn | 1943-0655 | en_US |
dc.identifier.other | 10.1109/JPHOT.2016.2564439 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/175450 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/641298 | - |
dc.description | en_US | |
dc.description.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. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.haspart | 7466077.pdf | en_US |
dc.subject | temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD) | en_US |
dc.title | An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor | en_US |
dc.type | Article | en_US |
dc.journal.volume | 8 | en_US |
dc.journal.issue | 3 | en_US |
dc.journal.title | IEEE Photonics Journal | en_US |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7466077.pdf | 948.54 kB | Adobe PDF | ![]() Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tao Wang | en_US |
dc.contributor.author | Tiegen Liu | en_US |
dc.contributor.author | Kun Liu | en_US |
dc.contributor.author | Junfeng Jiang | en_US |
dc.contributor.author | Lin Yu | en_US |
dc.contributor.author | Meng Xue | en_US |
dc.contributor.author | Yunxia Meng | en_US |
dc.date.accessioned | 2020-05-20T10:03:54Z | - |
dc.date.available | 2020-05-20T10:03:54Z | - |
dc.date.issued | 2016 | en_US |
dc.identifier.issn | 1943-0655 | en_US |
dc.identifier.other | 10.1109/JPHOT.2016.2564439 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/175450 | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/641298 | - |
dc.description | en_US | |
dc.description.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. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.haspart | 7466077.pdf | en_US |
dc.subject | temperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD) | en_US |
dc.title | An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor | en_US |
dc.type | Article | en_US |
dc.journal.volume | 8 | en_US |
dc.journal.issue | 3 | en_US |
dc.journal.title | IEEE Photonics Journal | en_US |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7466077.pdf | 948.54 kB | Adobe PDF | ![]() Preview File |