Vibration-based structural damage identification using wavelet transform

Bayissa, Wirtu; Haritos, N; Thelandersson, Sven

doi:10.1016/j.ymssp.2007.11.001

Cited by 148 publications

(75 citation statements)

References 30 publications

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“…Several related damage identification methods are ANFIS-2D-WT, CBR, ZOM, and Wavelet-Neuro-Fuzzy, which can be found in references (Bayissa et al, 2008;Escamilla-Ambrosio, Liu, Lieven, & Ramirez-Cortes, 2011;Kolakowski, 2006;Sunny & Kapania, 2011).…”

Section: Comparisons Of Related Damage Identification Methodsmentioning

confidence: 99%

“…Numerous techniques have been introduced for the damage detection of aircraft structures, among which the vibration based approaches have been widely exploited (Bayissa, Haritos, & Thelandersson, 2008;Budipriyanto, Haddara, & Swamidas, 2007;Duffey, Doebling, Farrar, Baker, & Rhee, 2001). These methods are based on the fact that any structure can be interpreted as a dynamic system with stiffness, mass and damping.…”

Section: Background Informationmentioning

confidence: 99%

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An integrated approach for structural damage identification using wavelet neuro-fuzzy model

Zhu

Deng

Zhang

2013

Expert Systems with Applications

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Section: Comparisons Of Related Damage Identification Methodsmentioning

confidence: 99%

Section: Background Informationmentioning

confidence: 99%

An integrated approach for structural damage identification using wavelet neuro-fuzzy model

Zhu

Deng

Zhang

2013

Expert Systems with Applications

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“…For a damage localization to be successful, the reference finite element model must be as accurate as possible; otherwise, the procedure will lead to incorrect results. Bayissa et al [28] proposed a damage identification method using wavelet transformation and applied the method to a steel plate girder of a bridge for damage identification. Deraemaeker et al [29] developed a structural health monitoring process using vibration data.…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

Guan

Wang

2017

Entropy

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A probabilistic damage identification method for shear structure components is presented. The method uses the extracted modal frequencies from the measured dynamical responses in conjunction with a representative finite element model. The damage of each component is modeled using a stiffness multiplier in the finite element model. By coupling the extracted features and the probabilistic structural model, the damage identification problem is recast to an equivalent optimization problem, which is iteratively solved using the cross-entropy optimization technique. An application example is used to demonstrate the proposed method and validate its effectiveness. Influencing factors such as the location of damaged components, measurement location, measurement noise level, and damage severity are studied. The detection reliability under different measurement noise levels is also discussed in detail.

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“…On the other hand, fiber Bragg grating (FBG) sensor has many advantages of optical fiber sensor such as simple structure, small volume, light weight, etc [3,4,5]. Many scholars have carried out a lot of research on the damage identification methods based on FBG sensors [6,7,8]. Capoluongo proved that the FBG sensor can replace the accelerometer in vibration test for the structure damage detection [9].…”

Section: Introductionmentioning

confidence: 99%

Application of interpolation algorithm in plate structure detection based on Fiber Bragg grating sensing technology

Tan

2015

IEICE Electron. Express

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Due to the speed development of the mechanical equipment, it is important to realize the nondestructive evaluation in time to guarantee the safe and reliable operation. Distributed vibration detection is a conventional approach, but it may suffer from the disadvantages that it is complex to arrange a large amount of measuring points. On the other hand, some optimization algorithms are effective for approximate solutions. Taking into these considerations, we proposes a corresponding damage identification method to realize the damage localization by Fiber Bragg grating sensing technology with interpolation algorithm, which can create a simple method to identify the damaged region for the plate structural. In this paper, vibration detection based on some FBG sensors is built up and the optimum parameters are given. On the basis of this, interpolation algorithm is applied into vibration test and the experimental results show that localization method by the interpolation analysis is feasible to damage detection and it has better detection effect for a thin steel plate.

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Vibration-based structural damage identification using wavelet transform

Cited by 148 publications

References 30 publications

An integrated approach for structural damage identification using wavelet neuro-fuzzy model

An integrated approach for structural damage identification using wavelet neuro-fuzzy model

A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

Application of interpolation algorithm in plate structure detection based on Fiber Bragg grating sensing technology

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