Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network

Kahandawa, Gayan; Epaarachchi, Jayantha; Wang, Hao; Canning, John; Lau, Kin-tak

doi:10.1016/j.measurement.2013.07.029

Cited by 25 publications

(10 citation statements)

References 19 publications

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“…Strain gauges used for strain-based monitoring are being gradually supplanted by fibre optic sensors (FOS) due to several practical limitations, including difficulties with deployment across large structures, cumbersome wiring, operational time issues and inability to withstand harsh environments. 17 Multiplexing capability, higher sensitivity, electro-magneto immunity and durability have made fibre Bragg grating (FBG) sensors [18][19][20][21][22] an attractive candidate for the real-time monitoring of aircraft structures. [23][24][25] Distributed fibre optic sensing (DFOS) 26 technology capable of obtaining strain measurements along the entire length of the fibre has been developed significantly over the last decade and is being used in large structures like bridges, high-rise buildings and tunnels.…”

Section: Introductionmentioning

confidence: 99%

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Bandara

Herath

Epaarachchi

2022

Journal of Reinforced Plastics and Composites

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Fibre-reinforced composite materials are extensively used for manufacturing critical engineering components in diverse applications, which demands intelligent and reliable structural health monitoring (SHM) schemes to prevent catastrophic failures associated with composite structures. Composite materials have complex failure mechanisms, and it is essential to employ reliable SHM methods with high accuracy to detect damages at the incipient stage. Although there are several SHM technologies available, no single strategy is impeccable for tackling all damage types due to the incredibly complex failure mechanisms of the composite materials. Machine learning (ML) methods are frequently integrated to compensate for the limitations of the traditional SHM methods. This paper presents the state-of-the-art sensory methods and deep learning (DL) techniques while emphasizing the future directions for the engineering and scientific community interested in developing novel SHM systems for fibre-reinforced polymer composite structures intended for civil, aerospace, automotive, marine, oil and gas exploration industries.

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Section: Introductionmentioning

confidence: 99%

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Bandara

Herath

Epaarachchi

2022

Journal of Reinforced Plastics and Composites

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“…Most importantly, the ability to embed FBG sensors between the composite layers makes them the ideal sensors for monitoring the health of the aerospace structures such as beams, wings and helicopter blades (Takeda et al , 2002; Costa et al , 2014). Additionally, the static mechanical properties of the host structures are not affected greatly when FBG sensors are embedded between the layers of a composite structure, considering the small diameter and lightweight of the FBG sensors (Kahandawa et al , 2013; Pollock, 2009). However, the mechanical properties of the host structure are disturbed considerably under impact loads and fatigue loads as stress concentration area is generated around the fibre optic cables (Silva et al , 2005).…”

Section: Introductionmentioning

confidence: 99%

Fibre Bragg grating sensor applications for structural health monitoring

Karatas

Değerliyurt

Yaman

et al. 2018

AEAT

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Purpose Structural health monitoring (SHM) has become an attractive subject in aerospace engineering field considering the opportunity to avoid catastrophic failures by detecting damage in advance and to reduce maintenance costs. Fibre Bragg Grating (FBG) sensors are denoted as one of the most promising sensors for SHM applications as they are lightweight, immune to electromagnetic effects and able to be embedded between the layers of composite structures. The purpose of this paper is to research on and demonstrate the feasibility of FBG sensors for SHM of composite structures. Design/methodology/approach Applications on thin composite beams intended for SHM studies are presented. The sensor system, which includes FBG sensors and related interrogator system, and manufacturing of the beams with embedded sensors, are detailed. Static tension and torsion tests are conducted to verify the effectiveness of the system. Strain analysis results obtained from the tests are compared with the ones obtained from the finite element analyses conducted using ABAQUS® software. In addition, the comparison between the data obtained from the FBG sensors and from the strain gauges is made by also considering the noise content. Finally, fatigue test under torsion load is conducted to observe the durability of FBG sensors. Findings The results demonstrated that FBG sensors are feasible for SHM of composite structures as the strain data are accurate and less noisy compared to that obtained from the strain gauges. Furthermore, the convenience of obtaining reliable data between the layers of a composite structure using embedded FBG sensors is observed. Practical implications Observing the advantages of the FBG sensors for strain measurement will promote using FBG sensors for damage detection related to the SHM applications. Originality/value This paper presents applications of FBG sensors on thin composite beams, which reveal the suitability of FBG sensors for SHM of lightweight composite structures.

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“…From the beginning of their development, fiber Bragg gratings (FBGs) have been considered as excellent optical fiber sensing elements, suitable for measuring strain, temperature and force [1][2][3]. Advantages over the traditional electronic sensors such as low cost, immunity to electromagnetic interference and high multiplexing capability are the reason why FBG sensors recorded a rapid development in recent years.…”

Section: Introductionmentioning

confidence: 99%

The optical measurement method for structural twist monitoring with using tilted Bragg grating sensor

Harasim¹

2018

ELECTROTECHNICAL REVIEW

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This paper presents the proposal for application of optical fiber sensor based on tilted Bragg gratings (TFBGs) for monitoring of structural twist. Article also shows the fully optical method for sensor signal demodulation using single passive fiber structure as traditional fiber Bragg grating (FBG). In such system the power of light reflected from FBG carries the information about twist between selected sections of monitored structure. This allows to avoid the expensive and vulnerable equipment for demodulation of TFBG spectral properties. Streszczenie. Niniejszy artykuł przedstawia propozycję zastosowania czujnika światłowodowego opartego o skośną siatkę Bragga (ang. TFBG) do monitorowania kąta skrętu. Przedstawiona została także metoda demodulacji sygnału optycznego z takiego czujnika za pomocą pasywnego elementu filtrującego w postaci tradycyjnej prostej siatki Bragga. W takim układzie, moc światła odbitego od siatki filtrującej niesie informację o skręcie pomiędzy wyznaczonymi segmentami badanej struktury. Zastosowanie takiej metody pozwoli na wyeliminowanie konieczności użycia wartościowego i delikatnego sprzętu specjalistycznego do określenia charakterystyk spektralnych czujnika. Zastosowanie czujnika światłowodowego opartego o skośną siatkę Bragga do monitorowania kąta skrętu

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Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network

Abstract: Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network.

Cited by 25 publications

References 19 publications

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Fibre Bragg grating sensor applications for structural health monitoring

The optical measurement method for structural twist monitoring with using tilted Bragg grating sensor

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