Analysis of Errors in the Estimation of Impact Positions in Plate-Like Structure through the Triangulation Formula by Piezoelectric Sensors Monitoring

Marino-Merlo, Eugenio; Bulletti, Andrea; Giannelli, Pietro; Calzolai, M.; Capineri, Lorenzo

doi:10.3390/s18103426

Cited by 14 publications

(15 citation statements)

References 27 publications

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“…Some linear methods use the propagation of Lamb waves in metal structures [91] with piezoelectric sensor arrays because of their directionality and low dispersion [92]. The propagation of this type of signal is used recurrently in the development of intelligent materials.…”

Section: Excitation Methodsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

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Section: Excitation Methodsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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“…We defined a Region of Interest (ROI) of the aluminum plate equal to 250mm x 240mm (see Figure 1) and this area was divided into a uniform grid of points spaced 1 mm with coordinates (xp, yp) for the following analysis. For each of those points, the impact localization algorithm processed the received signals to extract the differential DTOAs and calculated the value of the error function E(xp, yp) [15][16][17]. Once the error function (1) was calculated for the whole grid, the impact point was assigned by the absolute minimum error value criterion.…”

Section: Impact Detection and Localizationmentioning

confidence: 99%

“…The input attenuator is a fundamental block to adjust for different sensor sensitivity and impact energy. For example, impacts with from 10 mJ to 100 mJ energy can be monitored with 6.5 mm PVDF circular type (see [16] [17]) producing voltage signals in the range of 100mV to 1V, while the highest sensitivity of piezoceramic sensors like Physik Instrumente P-876.SP1 allows signals up to 300 mVpp with the low energy impact hammer or free-falling sphere, typically used during non-destructive laboratory tests. The piezoceramic material of this type of sensors has a high electromechanical coupling factor and high sensitivity.…”

Section: Electronic Instrument Design For Shm Evaluationmentioning

confidence: 99%

“…In a related research development [16], the authors presented a novel approach to estimate the DToA between the impact response signals collected by a triplet of sensors, overcoming the limitations of classical methods that rely on amplitude thresholds calibrated for a specific sensor type. Finally, in [17] is proposed a simple laboratory procedure based on a set-up with a pair of sensors that are symmetrically placed with respect to the impact point, to estimate the uncertainty of the DToA and the propagation velocity.…”

Section: Introductionmentioning

confidence: 99%

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Multichannel Real-Time Electronics Platform for the Estimation of the Error in Impact Localization With Different Piezoelectric Sensors Density

Capineri¹,

Bulletti²,

Merlo³

2021

Preprint

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The work presents a Structural Health Monitoring (SHM) electronic system with real-time ac-quisition and processing for the determination of impact location in laminates. The novelty of this work is the quantitative evaluation of impact location errors using the Lamb wave guided mode S0, captured and processed in real-time by up to eight piezoelectric sensors. The differential time of arrival is used to minimize an error function for the position estimation. The impact energy is correlated to the amplitudes of the antisymmetric (A0 ) mode and the electronic design is de-scribed to avoid saturation for signal acquisition. The same electronic is designed to acquire symmetric (S0 ) low level signals by adequate gain, bandwidth and signal to noise ration. Such signals propagate into a 1.4mm thick aluminum laminate at the group velocity of 5150m/s with frequency frequency components above 270kHz and can be discriminated from the A0 mode to calculate accurately the differential arrival time. The results show that the error is not improved better than S0 wavelength in impact localization by using six out of eight sensors connected to the electronic system.

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“…At the same time, the triangular method requires only a small number of sensors, which can further reduce resource occupation, but there are also some problems. Taking the flat panel as the research object, the effect of the signal arrival time difference and the Lamb wave velocity on the locating error was analyzed in the triangle method [45]. It is found that the location error of the threshold method is large and unstable.…”

Section: Introductionmentioning

confidence: 99%

Impact Location on a Fan-Ring Shaped High-Stiffened Panel Using Adaptive Energy Compensation Threshold Filtering Method

Wang

Rui

et al. 2019

Applied Sciences

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The increase in the number of space debris is a serious threat to the safe operation of in-orbit spacecraft. The propagation law of the impact signal in the stiffened panel of the spacecraft’s sealed bulkhead is very complicated, and there is less research on the impact source location in the high-stiffened panel. In this paper, an adaptive energy compensation threshold filtering (AECTF) method based on acoustic emission is proposed, which can realize large-scale, fast and accurate locating of the impact source on the stiffened panel with less resource consumption. The influence law of the stiffeners on the lamb wave is analyzed by finite element simulation, and the Lamb wave energy factor curve is obtained. The correctness of the simulation is verified by the locating experiment on the impact point. The results show that the proposed AECTF method has better adaptability and can correctly locate the impact points in complicated locations. By selecting the appropriate frequency band to filter the signal, the locating accuracy and stability can be improved. When the frequency band is 100–200 kHz, the locating result is optimal, the average absolute error is 7.0 mm, the average relative error is 0.86%, and the error standard deviation is 3.5 mm. This study will generate fresh insight into the impact location technology of high-stiffened panel and provide a reference for the in-orbit spacecraft health monitoring system.

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Analysis of Errors in the Estimation of Impact Positions in Plate-Like Structure through the Triangulation Formula by Piezoelectric Sensors Monitoring

Cited by 14 publications

References 27 publications

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Multichannel Real-Time Electronics Platform for the Estimation of the Error in Impact Localization With Different Piezoelectric Sensors Density

Impact Location on a Fan-Ring Shaped High-Stiffened Panel Using Adaptive Energy Compensation Threshold Filtering Method

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