Load Identification Method Based on Fiber Bragg Grating Sensors

Author(s):  
Xuegang Song ◽  
Jie Zeng ◽  
Yu Li ◽  
Xuping Zhang ◽  
Chi Ma
Aerospace ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 134
Author(s):  
Zhaoyu Zheng ◽  
Jiyun Lu ◽  
Dakai Liang

Flexible corrugated skins are ideal structures for morphing wings, and the associated load measurements are of great significance in structural health monitoring. This paper proposes a novel load-identification method for flexible corrugated skins based on improved Fisher discrimination dictionary learning (FDDL). Several fiber Bragg grating sensors are pasted on the skin to monitor the load on multiple corrugated crests. The loads on different crests cause nonuniform strain fields, and these discriminative spectra are recorded and used as training data. The proposed method involves load-positioning and load-size identification. In the load-size-identification stage, a classifier is trained for every corrugated crest. An interleaved block grouping of samples is introduced to enhance the discrimination of dictionaries, and a two-resolution load-size classifier is introduced to improve the performance and resolution of the grouping labels. An adjustable weight is introduced to the FDDL classification scheme to optimize the contribution from different sensors for different load-size classifiers. With the proposed method, the individual loads on eight crests can be identified by two fiber Bragg grating sensors. The positioning accuracy is 100%, and the mean error of the load-size identification is 0.2106 N, which is sufficiently precise for structural health monitoring.


Sensors ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 1733 ◽  
Author(s):  
Xuegang Song ◽  
Yuexin Zhang ◽  
Dakai Liang

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4272
Author(s):  
Oscar de la Torre ◽  
Ignazio Floris ◽  
Salvador Sales ◽  
Xavier Escaler

The present paper assesses the performance and characteristics of fiber Bragg grating sensors, with a special interest in their applications in hydraulic machinery and systems. The hydropower industry is turning to this technology with high expectations of obtaining high quality data to validate and calibrate numerical models that could be used as digital twins of key assets, further strengthening the sector’s relevant position within industry 4.0. Prior to any validation, fiber Bragg grating sensors’ ability to perform well underwater for long periods of time with minimal degradation, and their ease of scalability, drew the authors´ attention. A simplified modal analysis of a partially submerged beam is proposed here as a first step to validate the potential of this type of technology for hydropower applications. Fiber Bragg grating sensors are used to obtain the beam’s natural frequencies and to damp vibrations under different conditions. The results are compared with more established waterproof electric strain gauges and a laser vibrometer with good agreement. The presence of several sensors in a single fiber ensures high spatial resolution, fundamental to precisely determine vibration patterns, which is a main concern in this industry. In this work, the beam’s vibration patterns have been successfully captured under different excitations and conditions.


2016 ◽  
Author(s):  
Saurabh Kumar ◽  
V. Shrikanth ◽  
Bharadwaj Amrutur ◽  
Sundarrajan Asokan ◽  
M. S. Bobji

1999 ◽  
Author(s):  
Francisco M. Araujo ◽  
M. Teixeira ◽  
Luis A. A. Ferreira ◽  
Ireneu M. Dias ◽  
A. Quintela ◽  
...  

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