An Impact Location Method Based on Transmission Coefficient Weighted Impact Intensity

Yue, Guixuan; Rui, Xiaobo; Qi, Lei

doi:10.1109/access.2020.2998859

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…The various sensors combination cases (SCCs) are listed in the following tables from 6 to 10. The error rate (ER) refers to the ratio of N a to N b , where, N a is the number of points, whose localization error is greater than the grid width (50 mm), N b is the number of points to be tested (15). Error analysis of each FBG quantity combinations is shown table 11.…”

Section: Analysis Of Layout Of the Fbg Sensor Network To Accuracymentioning

confidence: 99%

“…Matousek and his followers [12] proposed a TDOA positioning method based on correlation to achieve this. The traditional TDOA method can provide a good solution except for the complicated structures with a composite material [13][14][15]. The reason is that the propagation speed of the acoustic signal in each direction is not the same caused by the anisotropy of the composite structure, which leads to the difficulty of localization.…”

Section: Introductionmentioning

confidence: 99%

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Multi FBG sensor-based impact localization with a hybrid correlation interpolation method

Liangya¹,

Jiang²,

Luo³

et al. 2022

Meas. Sci. Technol.

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To locate the impact source of a composite material structure with a series of Fiber Bragg grating (FBG) sensors, a hybrid correlation interpolation (HCI) method is proposed, in this paper, based on a weighted correlation analysis and a unidirectional cubic spline interpolation. First, the signals collected by FBG sensors are preprocessed on the frequency domain to reduce noise interference. Second, the impact similarity map is built by using the weighted cross-correlation value to estimate the location of the impact roughly. Third, the similarity map is further subdivided by the unidirectional cubic spline interpolation to increase the impact localization. Fourth, the FBG sensor network is experimental analyzed to optimize the layout and the structure of the FBG sensor network. The validity of the multi FBG sensor-based impact localization method is verified on a carbon fiber composite plates with a size of 650 × 500 (mm). The experimental result shows that the Mean Absolute Error (MAE) is 9.74mm for our suggested method and 15.51mm for the bicubic polynomial interpolation (BPI) algorithm, which is reduced by 5.77mm. The maximum errors are 36.40mm for the BPI algorithm while are reduced to 21.55mm for our suggested method. Furthermore, the effect of FBG sensor combination layout and number on impact location accuracy is analyzed and compared. It shows that the sensor network layout of rectangular structure using four FBG sensors is a better choice after the comprehensive consideration of economic benefits, localization accuracy, and Error Rate (ER).

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Section: Analysis Of Layout Of the Fbg Sensor Network To Accuracymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi FBG sensor-based impact localization with a hybrid correlation interpolation method

Liangya¹,

Jiang²,

Luo³

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…At present, the main detection methods around the impact source localization problem focus on the infrared imaging method [ 7 , 8 ], resistive thin film method [ 9 ], fiber grating method [ 10 , 11 ], acceleration method [ 12 ], and the acoustic detection method [ 13 , 14 , 15 ]. Among them, acoustic detection methods have been widely focused on due to the advantages of high system integration, high sensitivity, and fast detection speed.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Source Localization in CFRP Composite Plate Based on Wave Velocity-Direction Function Fitting

Feng

Rui

et al. 2023

Sensors

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Composite materials are widely used, but they are often subjected to impacts from foreign objects, causing structural damage. To ensure the safety of use, it is necessary to locate the impact point. This paper investigates impact sensing and localization technology for composite plates and proposes a method of acoustic source localization for CFRP composite plates based on wave velocity-direction function fitting. This method divides the grid of composite plates, constructs the theoretical time difference matrix of the grid points, and compares it with the actual time difference to form an error matching matrix to localize the impact source. In this paper, finite element simulation combined with a lead-break experiment is used to explore the wave velocity-angle function relationship of Lamb waves in composite materials. The simulation experiment is used to verify the feasibility of the localization method, and the lead-break experimental system is built to locate the actual impact source. The results show that the acoustic emission time-difference approximation method can effectively solve the problem of impact source localization in composite structures, and the average localization error is 1.44 cm and the maximum localization error is 3.35 cm in 49 experimental points with good stability and accuracy.

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Micrometeoroid and Orbital Debris Impact Detection and Location Based on FBG Sensor Network Using Combined Artificial Neural Network and Mahalanobis Distance Method

Jin

Zhu

Zhang

et al. 2021

IEEE Trans. Instrum. Meas.

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An Impact Location Method Based on Transmission Coefficient Weighted Impact Intensity

Cited by 3 publications

References 17 publications

Multi FBG sensor-based impact localization with a hybrid correlation interpolation method

Multi FBG sensor-based impact localization with a hybrid correlation interpolation method

Acoustic Source Localization in CFRP Composite Plate Based on Wave Velocity-Direction Function Fitting

Micrometeoroid and Orbital Debris Impact Detection and Location Based on FBG Sensor Network Using Combined Artificial Neural Network and Mahalanobis Distance Method

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