Fiber Bragg gratings sensing network with a bus chain typology structure

Wen, Xiaoyan; Huang, Shuai; Zhu, Fangdong; Zhang, Dongsheng

doi:10.1117/1.oe.55.6.066102

Cited by 11 publications

(5 citation statements)

References 25 publications

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“…Figure 14 shows the detection results obtained by the GRU model when the number of FBG sensors is seven. As shown in the figure, the proposed model capable of detecting the Bragg wavelength of each FBG, even when the spectra of FBGs are partially overlapped (see strain steps 7,11,13,16,18,21,24,29,31,36,38,43,45,49,51, 56 and 58) and fully overlapped (see strain step 8, 12, 17, 23, 30, 37, 44, 50 and 57). Moreover, the average RMS errors of our proposed GRU model for the four different cases, such as 3-FBG, 5-FBG, 7-FBG, and 10-FBG, are summarized in Table 4.…”

Section: Case Three: 7-fbg Sensor Network Variable Strain Effect Detectionmentioning

confidence: 99%

“…In the previous scheme, wavelength division multiplexing (WDM) [ 11 , 12 ] and time-division multiplexing (TDM) [ 13 , 14 ] techniques have been proposed to increase the number of FBG sensors that are multiplexed in a single fiber cable. However, in the WDM technique, each FBG has a limited operating range, which is not able to overlap.…”

Section: Introductionmentioning

confidence: 99%

“…Every FBG spectral signal in the WDM of the FBG sensor network is needed to have an independent operational region, which means that the adjacent spectrum does not overlap. In addition, the TDM method [ 13 , 14 ] is prone to delays, and it is very difficult to guarantee service to the desired receivers. This makes the number of FBG sensors in the sensor system very restricted.…”

Section: Introductionmentioning

confidence: 99%

“…IWDM is used to increase the number of multiplexed FBG sensors, and it has a low-complexity advantage [ 3 , 15 , 16 , 17 , 18 ]. Several network topologies, such as tree, ring, mesh, star, and bus topologies, have been proposed in the FBG sensor network area [ 3 , 12 , 13 , 17 ] to implement different multiplexing techniques. However, each network topology has its drawbacks.…”

Section: Introductionmentioning

confidence: 99%

“…From a various number of sensor network categories, Fiber Bragg Grating its drawbacks. Nevertheless, due to the simplicity of installation, cable cost reduction, and ease of fault troubleshooting, bus topology is the most widely available and preferred architecture for distributed sensor network applications [4,12,13,19] compared with the other topologies. Furthermore, because of its easily re-configurable structure, bus topology is a preferential structure over the other network topologies for incorporating many numbers of FBG sensors.…”

Section: Introductionmentioning

confidence: 99%

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Design Reliable Bus Structure Distributed Fiber Bragg Grating Sensor Network Using Gated Recurrent Unit Network

Dehnaw

Manie

Chen

et al. 2020

Sensors

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The focus of this paper was designing and demonstrating bus structure FBG sensor networks using intensity wavelength division multiplexing (IWDM) techniques and a gated recurrent unit (GRU) algorithm to increase the capability of multiplexing and the ability to detect Bragg wavelengths with greater accuracy. Several Fiber Bragg grating (FBG) sensors are coupled with power ratios of 90:10 and 80:10, respectively in the suggested experimental setup. We used the latest IWDM multiplexing technique for the proposed scheme, as the IWDM system increases the number of sensors and allows us to alleviate the limited operational region drawback of conventional wavelength division multiplexing (WDM). However, IWDM has a crosstalk problem that causes high-sensor signal measurement errors. Thus, we proposed the GRU model to overcome this crosstalk or overlapping problem by converting the spectral detection problem into a regression problem and considered the sequence of spectral features as input. By feeding this sequential spectrum dataset into the GRU model, we trained the GRU system until we achieved optimal efficiency. Consequently, the well-trained GRU model quickly and accurately identifies the Bragg wavelength of each FBG from the overlapping spectra. The Bragg wavelength detection performance of our proposed GRU model is tested or validated using different numbers of FBG sensors, such as 3-FBG, 5-FBG, 7-FBG, and 10-FBG, separately. As a result, the experiment result proves that the well-trained GRU model accurately identifies each FBG Bragg wavelength, and even the number of FBG sensors increase, as well as the spectra of FBGs, which are partially or fully overlapped. Therefore, to boost the detection efficiency, reliability, and to increase the multiplexing capabilities of FBG sensor networks, the proposed sensor system is better than the other previously proposed methods.

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