國立虎尾科技大學 |

Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System./
作者:	Hu, Lingling.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	121 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
Contained By:	Dissertation Abstracts International78-09B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10272532
ISBN:	9781369718911

Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System.
Hu, Lingling.

Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 121 p.

Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.

Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2017.

This item is not available from ProQuest Dissertations & Theses.

Detailed and systematic noise analysis and novel noise reduction methods in fiber-grating-based acoustic emission (AE) detection system are presented in this dissertation. The goal of this work is to provide solutions for the detection of small acoustic emission signals, which is of great interest in practical applications.

ISBN: 9781369718911Subjects--Topical Terms:

596380
Electrical engineering.

Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System.
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245 1 0 $a Noise Analysis and Reduction in a Fiber-Grating-Based Acoustic Emission Detection System.
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300 $a 121 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
500 $a Adviser: Ming Han.
502 $a Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Detailed and systematic noise analysis and novel noise reduction methods in fiber-grating-based acoustic emission (AE) detection system are presented in this dissertation. The goal of this work is to provide solutions for the detection of small acoustic emission signals, which is of great interest in practical applications.
520 $a A cost-effective way for interrogation in an AE detection system using fiber Bragg gratings (FBGs) as sensors is to convert the AE-introduced wavelength shift to intensity variations of a laser whose wavelength is set on the slope of the grating's reflection spectrum. Disturbance in such a sensing system, including the wavelength shift introduced by the components inside the system, and the response of the system to external perturbations are discussed herein.
520 $a The small, cost-efficient distributed feedback (DFB) laser diode is an attractive light source for the sensing system. However, it is also a main contributor of noise. The output wavelength of the DFB laser diode results from the interplay between the injected current and the temperature of the semiconductor junction. The low frequency drift of the laser wavelength caused by thermal and mechanical disturbance can be controlled by using a feedback control system. However, the high frequency wavelength fluctuations caused by the spontaneous emission broadens the laser linewidth and can be converted into large frequency noise by using a frequency discriminator, such as piFBGs.
520 $a To improve the SNR of the system in a cost-effective way, a noise reduction method using two types of reference channels is proposed. Using a matched piFBG as a reference, which works at the same operating point as the piFBG sensor and is isolated from AE signals, the noise from the light source can be completely subtracted from the sensing signals. The reference channel is improved for use in the environment with a large thermal gradient and mechanical fluctuations by interferometers, which have large detection bandwidth. A novel data processing method was developed for each type of reference to efficiently subtract the laser intensity and frequency noise from the sensor signals. It has been demonstrated that the SNR can be improved more than 20 dB by using the proposed noise reduction methods.
590 $a School code: 0138.
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710 2 $a The University of Nebraska - Lincoln. $b Electrical Engineering. $3 1148519
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