Air-to-Ground Transmission and Near Real-Time Visualization of FBG Sensor Data via Cloud Database

Marceddu, Antonio Costantino; Quattrocchi, Gaetano; Aimasso, Alessandro; Giusto, Edoardo; Baldo, Leonardo; Vakili, Mohammad Ghazi; Vedova, Matteo Davide Lorenzo Dalla; Montrucchio, Bartolomeo; Maggiore, Paolo

doi:10.1109/jsen.2022.3227463

Cited by 7 publications

(8 citation statements)

References 38 publications

(40 reference statements)

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“…As observed in the last chapter, when the laser beam strikes the FBG gratings, they reflect a certain frequency. The reflected frequencies are returned to the interrogator and quantified as wavelengths [24]. The data is subsequently transmitted to the computer through a LAN cable, where it is displayed on a monitor and stored in a text file.…”

Section: Experimental Set-up and Test Campaignmentioning

confidence: 99%

Sensitivity analysis of FBG sensors for detection of fast temperature changes

Aimasso,

Vedova,

Maggiore

2023

J. Phys.: Conf. Ser.

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In the last few decades, the use of optical fiber is becoming more widespread for communication technologies and sensor applications. In this sense, considering the physical characteristics of the fiber, there are many possibilities for its use in various engineering sectors, not least in the aerospace one. Indeed, using optical fibers to replace traditional electronic devices can provide significant advantages, such as using an extremely lightweight and minimally invasive technology. FBG (Fiber Bragg Grating) sensors are ones of the most widely used instruments for this purpose, and they allow the detection of different physical parameters, including temperature. The aim of the present work is to analyze the performances of FBGs, in particular by evaluating their ability to read short-term thermal transients and comparing it with that of a conventional thermal probe (PT100). More specifically, two optical fibers were used: the first with the FBG sensor area covered by the external coating and the second without this outer layer. All instrumentation was placed in a climatic chamber and subjected to different thermal cycles. Furthermore, the fiber sections with FBGs were not placed directly in contact with the plate on which they were installed. This made it possible to put optical sensors indications that were as independent as possible from the materials on which they were mounted. Tests have shown that optical sensors have an extremely high sensitivity and a much shorter reaction time than the PT100 probe. Data collected by this work allow strategic use of FBG for thermal monitoring using a minimally invasive and extremely accurate technology.

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Section: Experimental Set-up and Test Campaignmentioning

confidence: 99%

Sensitivity analysis of FBG sensors for detection of fast temperature changes

Aimasso,

Vedova,

Maggiore

2023

J. Phys.: Conf. Ser.

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“…Last year, the authors of this paper published what has been dubbed as a flying test bench for FBG sensors [28] [29] [30]. It can be divided into two main parts:…”

Section: Flying Test Benchmentioning

confidence: 99%

“…The development of the software was also made possible by recurring to the PhotoNext Emulator software [29]. Some laboratory tests with the real interrogator and instrumentations were planned to validate the work made.…”

Section: Laboratory Testsmentioning

confidence: 99%

Comprehensive Visualization of Data Generated by Fiber Bragg Grating Sensors

Marceddu,

Aimasso,

Schiavello

et al. 2023

IEEE Access

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Testing is essential to validate the effort put into building a new system. In engineering fields like aerospace, marine, mechanical, and others, these tests are often performed in environments similar to the one in which the system will be immersed in order to verify its suitability to operate. They often require tools that allow the data collected to be viewed in real-time or near real-time and in a way that can be easily interpreted by an operator. The purpose of this paper is therefore to present a new software that simplifies the visualization of data coming from fiber Bragg grating sensors. In this regard, it offers multiple functions and display modes useful for carrying out tests with greater awareness of what is happening at a certain moment. The software has been successfully tested and verified through an experimental campaign in the laboratory and the field.

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“…Fiber Bragg Grating (FBG) sensors, known for their small size and weight, immunity to electromagnetic interference, and resistance to corrosion, 2,3 are one of the preferred sensors used in smart composites. [4][5][6][7][8][9][10] Figure 1 presents one instance of the potential application of smart composites embedded with FBG sensors used in the intelligent wing skin, which enables online monitoring of deformation and damage. 11 In addition, FBG sensors are also increasingly applied in the space domain.…”

Section: Introductionmentioning

confidence: 99%

“…With the application of these smart composites, real‐time monitoring of the health state of aircraft can be achieved, leading to its enhanced safety and reliability. Fiber Bragg Grating (FBG) sensors, known for their small size and weight, immunity to electromagnetic interference, and resistance to corrosion, 2,3 are one of the preferred sensors used in smart composites 4–10 . Figure 1 presents one instance of the potential application of smart composites embedded with FBG sensors used in the intelligent wing skin, which enables online monitoring of deformation and damage 11 …”

Section: Introductionmentioning

confidence: 99%

Influence of processing parameters on the resin pocket geometry of smart composites embedded with Fiber Bragg Grating sensor and its fast prediction

Zhao,

Zhang,

Liu

et al. 2024

Polymer Composites

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Smart composites embedded with Fiber Bragg Grating (FBG) sensors are getting increasingly popular in aircraft structures due to their self‐sensing and monitoring capability. However, a resin pocket around the FBG sensor would be formed in the manufacturing process, which strongly impacts the mechanical properties of the composite host. Therefore, the influence of primary processing parameters (FBG orientation angle, preforming temperature, and preforming pressure) on the formation of resin pockets was investigated in this work. It is found that there is a sinusoidal relation between the resin pocket geometry and the FBG orientation angle. A negative linear relation is noted between the resin pocket geometry and the preforming temperature and pressure. A prediction model based on the backpropagation neural network (BPNN) was established, which was able to quickly and accurately predict resin pocket geometry subjected to given processing parameters. This work provides useful guidance for the processing control of smart composites embedded with FBG sensors.Highlights Resin pocket geometry was formed primarily in the preforming stage. Effect of processing parameters on resin pocket geometry was characterized. A BPNN model was established for the fast prediction of resin pocket geometry.

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Air-to-Ground Transmission and Near Real-Time Visualization of FBG Sensor Data via Cloud Database

Cited by 7 publications

References 38 publications

Sensitivity analysis of FBG sensors for detection of fast temperature changes

Sensitivity analysis of FBG sensors for detection of fast temperature changes

Comprehensive Visualization of Data Generated by Fiber Bragg Grating Sensors

Influence of processing parameters on the resin pocket geometry of smart composites embedded with Fiber Bragg Grating sensor and its fast prediction

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