Reliable self-healing FBG sensor network for improvement of multipoint strain sensing

Hayle, Stotaw Talbachew; Dehnaw, Amare Mulatie; Hsu, Yuan-Ta; Li, Jyun-Wei; Liang, Hsing-Chin; Manie, Yibeltal Chanie

doi:10.1016/j.optcom.2021.127286

Cited by 17 publications

(4 citation statements)

References 22 publications

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“…Through this algorithm, the reliability and survivability of the FBG-based SHM system is enhanced if partial FBG sensors are invalid. Stotaw Talbachew Hayle et al 6 used deep learning technique to accurately identify the Bragg wavelength of FBGs in the condition of the partially or fully overlapped spectra to improve the reliability and detection accuracy of the sensor system even the number of overlaps FBGs spectra increases. Jiang et al 7 developed an FBG sensing-based structural health monitoring system for Chinese ancient Chuan-dou-type timber buildings that aims at monitoring structural deformation.…”

Section: Related Workmentioning

confidence: 99%

Research on stress curve clustering algorithm of Fiber Bragg grating sensor

Lin

Wang

et al. 2023

Sci Rep

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The global stress distribution and state parameter analysis of the building's main structure is an urgent problem to be solved in the online state assessment technology of building structure health. In this paper, a stress curve clustering algorithm of fiber Bragg grating stress sensor based on density clustering algorithm is proposed. To solve the problem of large dimension and sparse sample space of sensor stress curve, the distance between samples is measured based on improved cosine similarity. Aiming at the problem of low efficiency and poor effect of traditional clustering algorithm, density clustering algorithm based on mutual nearest neighbor is used to cluster. Finally, the classification of the daily stress load characteristics of the sensor is realized, which provides a basis for constructing the mathematical analysis model of building health. The experimental results show that the stress curve clustering method proposed in this paper is better than the latest clustering algorithms such as HDBSCAN, CBKM, K-mean++,FINCH and NPIR, and is suitable for the feature classification of stress curves of fiber Bragg grating sensors.

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Section: Related Workmentioning

confidence: 99%

Research on stress curve clustering algorithm of Fiber Bragg grating sensor

Lin

Wang

et al. 2023

Sci Rep

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“…As illustrated in Figure 2, the system employs a ring-based self-healing design in conjunction with FSO, facilitating a strong and resilient system that can overcome physical obstacles. The incorporation of an optical switch within this architecture allows for dynamic reconfiguration and rerouting of signals in the event of a link breakdown [33][34][35][36][37][38][39][40]. This design choice significantly decreases the likelihood of sensor system failures and ensures continuous operation.…”

Section: Methodsmentioning

confidence: 99%

Self-Healing Fiber Bragg Grating Sensor System Using Free-Space Optics Link and Machine Learning for Enhancing Temperature Measurement

Arockiyadoss,

Dehnaw,

Manie

et al. 2024

Electronics

Self Cite

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This research investigates the integration of free-space optics (FSO) with fiber Bragg grating (FBG) sensors in self-healing ring architectures, aiming to improve reliability and signal-to-noise ratio in temperature sensing within sensor systems. The combination of FSO’s wireless connectivity and FBG sensors’ precision, known for their sensitivity and immunity to electromagnetic interference, is particularly advantageous in demanding environments such as aerospace and structural health monitoring. The self-healing architecture enhances system resilience, automatically compensating for failures to maintain consistent monitoring capabilities. This study emphasizes the use of intensity wavelength division multiplexing (IWDM) to manage the complexities of increasing the multiplexing number of FBG sensors. Challenges arise with the overlapping spectra of FBGs when multiplexing several sensors. To address this, a hybrid approach combining an unsupervised autoencoder (AE) with a convolutional neural network (CNN) is proposed, significantly enhancing the accuracy and efficiency of sensor signal detection. These advancements signify substantial progress in sensor technology, validating the effectiveness of the AE-CNN hybrid model in refining FBG sensor systems and underscoring its potential for robust and reliable applications in critical sectors.

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“…That region of the structure may not have been properly instrumented for monitoring. Splicing a new sensing optical fiber to an existing optical fiber network is not always practical where the optical fibers are mounted to a structure [20]. Therefore, bonding a new optical fiber to an existing one is a simple and rapid method to add sensors in new regions of the structure.…”

Section: Introductionmentioning

confidence: 99%

Extension of Fiber Bragg Grating Ultrasound Sensor Network by Adhesive Couplers

Kim,

Aboubakr,

Peters

2023

Photonics

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Previous studies demonstrated coupling of acoustic guided waves from one optical fiber to another through a simple adhesive bond coupler. This paper experimentally utilizes such an adhesive bond coupler to easily extend an already existing sensor network. We experimentally demonstrate this concept for detecting simulated cracks growing from circular holes in a thin aluminum plate. A single, remotely bonded FBG sensor is used to detect the original crack growth, followed by the addition of other optical fiber segments using adhesive couplers to detect new crack growth locations on the plate. A laser Doppler vibrometer is also used to measure the guided wave propagation through the plate to verify that the changes in the FBG sensor measurements are due to the growth of the cracks.

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Reliable self-healing FBG sensor network for improvement of multipoint strain sensing

Cited by 17 publications

References 22 publications

Research on stress curve clustering algorithm of Fiber Bragg grating sensor

Research on stress curve clustering algorithm of Fiber Bragg grating sensor

Self-Healing Fiber Bragg Grating Sensor System Using Free-Space Optics Link and Machine Learning for Enhancing Temperature Measurement

Extension of Fiber Bragg Grating Ultrasound Sensor Network by Adhesive Couplers

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