Two-dimensional near-field multiple signal classification algorithm–based impact localization

Yuan, Shenfang; Zhong, Yongteng; Zhi-ling, Wang

doi:10.1177/1045389x14529026

Cited by 46 publications

(36 citation statements)

References 39 publications

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“…This limitation is due to the signal model, which considers plane waves only (or far-field source). High-resolution algorithms suited for the identification of near-field sources has been developed [59,60,61], and could be used to identify the parameters of waves with a wavefront which is not plane. Moreover, uncertainties in the wavevector could be quantified by using results of the perturbation analysis of the ESPRIT algorithm [48].…”

Section: Discussionmentioning

confidence: 99%

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

Margerit

Lebée

Caron

et al. 2019

Journal of Sound and Vibration

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The High Resolution Wavevector Analysis (HRWA) is presented and its application illustrated. Extending the High Resolution Wavenumber Analysis method [1] to 2D signals, it allows the wide-band and local characterization of the linear elastic behavior of anisotropic plates. The method belongs to the family of experimental wavenumber-based characterization methods and uses the high resolution signal processing algorithm ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and the ESTER criterion (ESTimation of ERror) to overcome some of the limitation of Fourier-based methods. Three experimental applications on composite plate specimens are presented. First (i), from the out-of-plane velocity field of a sandwich plate with a foam core, different wave types (bending, shear and compression) are extracted. The results are compared with numerical predictions. Second (ii), individual layer contributions are separated on a honeycomb sandwich plate by means of the observation of the dependence of the extracted complex wavevectors as a function of wave propagation direction and frequency. Third (iii), a local wavenumber extraction is performed on a 4-layer carbon-epoxy plate made of fiber patches with spatially varying orientations. The local specific bending stiffness of the plate is identified from the extracted wavevectors and compared with theoretical results.

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Section: Discussionmentioning

confidence: 99%

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

Margerit

Lebée

Caron

et al. 2019

Journal of Sound and Vibration

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“…According to the formula deduced by the authors (Zhong et al., , ; Yuan et al., ), the observed data output from PZT i of PBSA can be represented as

{bold-italicx}_{i} (t) = \frac{r}{r_{i}} s (t) e^{j ω_{0} τ_{i}} + {bold-italicn}_{i} (t), i = 1, 2, ..., M

where,

τ_{i}

is the arriving time difference between PZT i and PZT 0. The array steering vector a i (r,θ) for the impact signal is

a_{i} (r, θ) = \frac{r}{r_{i}} exp (j ω_{0} τ_{i})

…”

Section: Impact Signal Model Using Pbsamentioning

confidence: 99%

“…However, most of current researches were restricted to localization impact in the far‐field of isotropic plate. To deal with the near‐field monitoring problem, the authors in previous work proposed a uniform linear sensor array (ULSA)‐based MUSIC algorithm for impact localization to solve the near‐field monitoring problem (Zhong et al., , ; Yuan et al., ). However, for the applications on the real complex structures, some challenges still exist.…”

Section: Introductionmentioning

confidence: 99%

A Two‐Dimensional Plum‐Blossom Sensor Array‐Based Multiple Signal Classification Method for Impact Localization in Composite Structures

Zhong

Xiang

2016

Computer aided Civil Eng

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The growing use of composite materials on aircraft structures has attracted much attention for the impact monitoring as a kind of structural health monitoring method. Uniform linear sensor array (ULSA)based multiple signal classification (MUSIC) technology is a promising method because of its directional scanning ability and easy arrangement of the sensor array. However, the monitoring range of ULSA-based MU-SIC method is 0°-180°, and its beamforming properties degrade at angles close to 0°and 180°. Besides, the ULSA-based MUSIC methods proposed require the knowledge of the direction dependent velocity profile obtained by additional experiments. This article presents a novel two-dimensional (2-D) plum-blossom sensor array (PBSA)-based MUSIC method. First, the velocity propagating at the specific direction is estimated by impact signal itself using PBSA directly. Second, 2-D PBSA-based MUSIC method well realizes omnidirectional 0°-360°impact localization of composite structures. Experimental results show its successful performance on epoxy laminate plate and complex composite structure.C 2016 Computer-Aided Civil and Infrastructure Engineering.

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“…The orthogonality of the two subspaces can be utilized to estimate the signal parameters. Therefore, similar to the formulas of uniform linear array deduced by the authors [10][11][12], the observed signal vector from the P-B sensor array is analyzed first in this section.…”

Section: Impact Array Signal Modelmentioning

confidence: 99%

Impact energy level assessment of composite structures using MUSIC-ANN approach

Zhong

Xiang

Gao

et al. 2015

Struct. Control Health Monit.

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SUMMARYImpact damage effects on the residual mechanical properties of the structure can be quite detrimental, and failure patterns depend strongly on the impact energy levels. This paper presents impact energy level assessment method using 2D multiple signal classification (MUSIC) and artificial neural network (ANN) approach for composite structures. Because uniform linear array has the shortcoming of the half-plane mirror effect, 2D MUSIC algorithm using a plum blossom sensor array is firstly applied to locate the position of impact and extract impact energy feature. Secondly, the relation impact energy feature, impact position, and impact energy level at different measurement points are established using ANN approach. Through the trained ANN, the impact energy level can be predicted when the position and impact energy feature results of unknown impact are given as input. Finally, the proposed method is applied to a quasi-isotropic epoxy laminate plate and a large stiffened carbon fiber composite structure showing its successful performance on composite structure.

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Two-dimensional near-field multiple signal classification algorithm–based impact localization

Cited by 46 publications

References 39 publications

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

A Two‐Dimensional Plum‐Blossom Sensor Array‐Based Multiple Signal Classification Method for Impact Localization in Composite Structures

Impact energy level assessment of composite structures using MUSIC-ANN approach

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