Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/43493
Title: | Temperature sensing in BOTDA system by using artificial neural network | Authors: | Azad, AK Wang, L Guo, N Lu, C Tam, HY |
Issue Date: | Oct-2015 | Source: | Electronics letters, Oct. 2015, v. 51, no. 20, p. 1578-1580 | Abstract: | The use of an artificial neural network (ANN) for extraction of a temperature profile from a local Brillouin gain spectrum in a Brillouin optical time-domain analysis fibre sensor system is proposed and demonstrated. An ANN is applied to process the Brillouin timedomain trace in order to extract the temperature information along the fibre after the data acquisition process. The results show that the ANN provides higher accuracy and larger tolerance to measurement error than Lorentzian curve fitting does, especially for a large frequency scanning step. Hence the measurement time can be greatly reduced by adopting a larger frequency scanning step without sacrificing accuracy. | Publisher: | Institution of Engineering and Technology | Journal: | Electronics letters | ISSN: | 0013-5194 | EISSN: | 1350-911X | DOI: | 10.1049/el.2015.1359 | Rights: | © The Institution of Engineering and Technology 2015 This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. |
Appears in Collections: | Journal/Magazine Article |
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Temperature_Sensing_BOTDsystem.pdf | Pre-Published version | 753.25 kB | Adobe PDF | View/Open |
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