A Fiber-Optic Bragg Grating Seismic Sensor

Laudati, A.; Mennella, F.; Giordano, M.; D'Altrui, G.; Tassini, C. Calisti; Cusano, A.

doi:10.1109/lpt.2007.909628

Cited by 48 publications

(20 citation statements)

References 6 publications

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“…In fact, the interrogation rate of these systems is only limited by the electronic measuring stage. This specific approach has been successfully applied to seismic measurement as it can be seen in Figure 25 [30]. In this work, three different FBG sensors were simultaneously interrogated and compared with a conventional accelerometer using the setup shown in Figure 24.…”

Section: Fbg Vibration Sensing Applicationsmentioning

confidence: 99%

Vibration Detection Using Optical Fiber Sensors

2010

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Condition monitoring of heavy electromechanical equipment is commonly accomplished in the industry using vibration analysis. Several techniques, mainly based on capacitive and piezoelectric accelerometers, have been applied for predictive maintenance. However, the negative influence of the electromagnetic interference (EMI) can be a real problem when electrical signals are used to detect and transmit physical parameters in noisy environments such as electric power generator plants with high levels of EMI. Optical fiber sensors are increasingly used because of the nonelectrical nature of signals. In this paper, the most frequently used vibration optical fiber sensors will be reviewed, classifying them by the sensing techniques and measurement principles. The main techniques, intensity modulation, fiber bragg gratings and Fabry-Pérot Interferometry, will be reviewed here.

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Section: Fbg Vibration Sensing Applicationsmentioning

confidence: 99%

Vibration Detection Using Optical Fiber Sensors

2010

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“…Due to the great damage caused by the last seismic event in the highly populated Mexico City (September 19th, 2017), it is very important to have an accurate monitoring system in order to reduce casualties and building damages. A monitoring system makes easier to predict the earthquakes, design new buildings models to watch the response against these kinds of events and improve them [1].…”

Section: Introductionmentioning

confidence: 99%

Experimental study of a fiber Bragg grating accelerometer for seismic measurement

Pérez-Alonzo¹,

Sandoval-Romero²

2019

Vib. proced.

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This paper presents a fiber Bragg grating accelerometer prototype for seismic applications, including accelerometer scheme, calibration method and accelerometer resonance frequencies. The acceleration calibration and measurements were obtained from the laser beam deflection method. A series of experiments were carried out and results shows an accelerometer sensitivity of 8.07 mV/g (where 1 9.81 m/s 2) at 0.5 Hz and 2.63 mV/g at 50 Hz, the measured range scale goes from 0 to 35 m s-2 .

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“…Each FBG is sensitive to strain and temperature, exhibiting a linear sensitivity over a wide sensing range [2]. FBG strain sensors are employed in structural health monitoring [6,7], avionics [8,9], vibration sensing [10][11][12][13], and seismic applications [14,15]; FBGs are also often embedded into composite materials [6]. Miniature FBG sensors are often employed in medicine for temperature [16,17] and strain sensing [18][19][20] and in harsh environments such as nuclear plants [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…justifies the selection of the eigenvalue rank in precision sensing. For two different SNR values (50 dB and 60 dB), the chart reports the normalized eigenvalues −1 , as proposed in this context, and , as originally proposed Comparison of different eigenvalue tracking approaches, in small FBG wavelength shift: after applying (9)-(14) for different values of wavelength shift within ±1 pm, in different SNR conditions (50 dB and 60 dB), the chart displays the highest rank eigenvalue (with = 6) on (b) and the second-rank eigenvalue −1 on (a). In both cases, eigenvalues have been normalized by the eigenvalue obtained in reference conditions (Δ = 0 pm).…”

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confidence: 99%

Improved KLT Algorithm for High-Precision Wavelength Tracking of Optical Fiber Bragg Grating Sensors

Tosi¹

2017

Journal of Sensors

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Fiber Bragg Gratings (FBGs) are among the most popular optical fiber sensors. FBGs are well suited for direct detection of temperature and strain and can be functionalized for pressure, humidity, and refractive index sensing. Commercial setups for FBG interrogation are based on white-light sources and spectrometer detectors, which are capable of decoding the spectrum of an FBG array. Low-cost spectrometers record the spectrum on a coarse wavelength grid (typically 78–156 pm), whereas wavelength shifts of 1 pm or lower are required by most of the applications. Several algorithms have been presented for detection of small wavelength shift, even with coarse wavelength sampling; most notably, the Karhunen-Loeve Transform (KLT) was demonstrated. In this paper, an improved algorithm based on KLT is proposed, which is capable of further expanding the performances. Simulations show that, reproducing a commercial spectrometer with 156 pm grid, the algorithm estimates wavelength shift with accuracy well below 1 pm. In typical signal-to-noise ratio (SNR) conditions, the root mean square error is 22–220 fm, while the accuracy is 0.22 pm, despite the coarse sampling. Results have been also validated through experimental characterization. The proposed method allows achieving exceptional accuracy in wavelength tracking, beating the picometer level resolution proposed in most commercial and research software, and, due to fast operation (>5 kHz), is compatible also with structural health monitoring and acoustics.

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A Fiber-Optic Bragg Grating Seismic Sensor

Cited by 48 publications

References 6 publications

Vibration Detection Using Optical Fiber Sensors

Vibration Detection Using Optical Fiber Sensors

Experimental study of a fiber Bragg grating accelerometer for seismic measurement

Improved KLT Algorithm for High-Precision Wavelength Tracking of Optical Fiber Bragg Grating Sensors

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