Hilbert-Huang Based Approach for Structural Damage Detection

Yang, Jann N.; Yu, Lei; Lin, Shou-De; Huang, Norden E.

doi:10.1061/(asce)0733-9399(2004)130:1(85)

Cited by 317 publications

(189 citation statements)

References 11 publications

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“…Some of these DIs are based on extracting features from the observed output vector ( ), using numerous tools such as short Fourier transform [10], wavelet [11] and Hilbert-Huang transform [12].…”

Section: Figurementioning

confidence: 99%

Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure

Hajrya

Mechbal

2013

Structural Health Monitoring

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible.This is an author-deposited version published in: https://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/8199 To cite this version :Rafik HAJRYA, Nazih MECHBAL -Principal component analysis and perturbation theory-based robust damage detection of multifunctional aircraft structure -Structural Health Monitoring -Vol. 12 (, n°3, p.263-277 -2013 Any correspondence concerning this service should be sent to the repository

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Section: Figurementioning

confidence: 99%

Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure

Hajrya

Mechbal

2013

Structural Health Monitoring

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“…Various other damage detection algorithms have been proposed in SHM, for example, wavelet analysis [18], adaptive extended Kalman filter [19] and Hilbert-Huang transformation [20]. For detailed review of vibration-based damage identification methods, readers are referred to [3] and [7].…”

Section: A Damage Identification Algorithmsmentioning

confidence: 99%

Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks

et al. 2009

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Abstract-This paper presents a localized information processing approach for long-term, online structural health monitoring (SHM) using wireless sensor networks (WSNs). Based on the embedded AR-ARX method, each sensor independently calculates a statistical damage-sensitive coefficient using the measured acceleration data during each monitoring period. A nonlinear programming formulation is developed to identify damage presence, localize damage position, and quantify damage severity from the damage-sensitive coefficients in the whole sensing field. By limiting each sensor to exchange information among its neighboring sensors only, a localized near-optimal algorithm is proposed to reduce communication costs, thus alleviating the channel interference and prolonging the network lifetime. Simulation results on a steel frame structure prove the effectiveness of the proposed algorithm.Index Terms-Localized information processing, structure health monitoring (SHM), wireless sensor networks (WSNs).

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“…Five damage identification parameters can be highlighted: (i) frequency [28][29][30], (ii) damping [31][32][33], (iii) mode shapes [30,34,35], (iv) accelerations [36][37][38] and (v) curvatures. Curvature methods are usually focused on the mode shape and the deflection [39].…”

Section: Introductionmentioning

confidence: 99%

Damage detection using curvatures obtained from vehicle measurements

O’Brien

Martínez

Malekjafarian

et al. 2017

J Civil Struct Health Monit

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This paper describes a new procedure for bridge damage identification through drive-by monitoring. Instantaneous Curvature (IC) is presented as a means to determine a local loss of stiffness in a bridge through measurements collected from a passing instrumented vehicle. Moving Reference Curvature (MRC) is compared with IC as a damage detection tool. It is assumed that absolute displacements on the bridge can be measured by the vehicle. The bridge is represented by a finite element (FE) model. A Half-car model is used to represent the passing vehicle. Damage is represented as a local loss of stiffness in different parts of the bridge. 1% random noise and no noise environments are considered to evaluate the effectiveness of the method. A generic road surface profile is also assumed. Numerical simulations show that the local damage can be detected using IC if the deflection responses can be measured with sufficient accuracy. Damage quantification can be obtained from MRC.

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Hilbert-Huang Based Approach for Structural Damage Detection

Cited by 317 publications

References 11 publications

Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure

Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure

Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks

Damage detection using curvatures obtained from vehicle measurements

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