Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement

Lee, Eun-Taik; Eun, Hee-Chang

doi:10.1155/2016/8761249

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…These techniques can provide FRF, containing information about the damage without using input information either by using power spectral density or frequency domain decomposition. [24][25][26][27][28][29][30] In addition to Operational Deflection Shape (ODS) FRF, many researchers also used Random Decrement (RanDec) signatures as an output-only damage detection method. [31][32][33] The RanDec signature is almost identical to the impulse response of the system.…”

Section: Literature Reviewmentioning

confidence: 99%

Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method

et al. 2022

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Low-severity multiple damage detection relies on sensing minute deviations in the vibrational or dynamical characteristics of the structure. The problem becomes complicated when the reference vibrational profile of the healthy structure and corresponding input excitation, is unavailable as frequently experienced in real-life scenarios. Detection methods that require neither undamaged vibrational profile (baseline-free) nor excitation information (output-only) constitute state-of-art in structural health monitoring. Unfortunately, their efficacy is ultimately limited by non-ideal input excitation masking crucial attributes of system response such as resonant frequency peaks beyond first (few) natural frequency(ies) which can better resolve the issue of multiple damage detection. This study presents an improved frequency response function curvature method which is both baseline-free and output-only. It employs the cepstrum technique to eliminate [Formula: see text] decay of higher resonance peaks caused by the temporal spread of real impulse excitation. Long-pass liftering screens out the bulk of low-frequency sensor noise along with the excitation. With more visible resonant peaks, the cepstrum purified frequency response functions (regenerated frequency response functions) register finer deviation from an estimated baseline frequency response function and yield an accurate damage index profile. The simulation and experimental results on the beam show that the proposed method can successfully locate multiple damages of severity as low as 5%.

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Section: Literature Reviewmentioning

confidence: 99%

Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method

et al. 2022

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“…PSD represents the power of a signal or time sequence at various frequencies. This is the Fourier transform of the automated connection function that provides conversion from the time domain to the persistence domain [23].…”

Section: Power Spectral Densitymentioning

confidence: 99%

Review on Chronic Obstructive Pulmonary Disease Prediction System using Wheeze and Crackle.

Alwis¹

2021

Preprint

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<div> <div> <div> <p>As of today, Chronic Obstructive Pulmonary Disease (COPD) is a common lung disease in the community. Getting an accurate diagnosis is the most important step in treating a patient, allowing doctors to find the best treatment for their condition. Luckily, in today's World, Machine learning is making healthcare smarter. It's a complex process that requires human effort and time. The paper presents a better application design to identify this disease easily. The main aim is to predict that COPD patients can be performed with high accuracy according to respiratory sound reports. The latest technology will be used to achieve this goal through deep learning and Audio/speech processing. With this implementation of this research, it is hoped to make an accurate prediction of COPD and make it readily available to the patient. </p> </div> </div> </div>

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“…The PSD is based on the Fourier transform that provides the transformation from the time-domain to the frequency-domain. Additionally, PSD is defined as the squared value of the signal and describes the power of a signal or time series distributed over different frequencies [46]. Moreover, a PM represents points in phase space, which are sampled every spindle rotation [47].…”

Section: Stability Analysis Of 1 Dof Milling With a Multivariable Toolmentioning

confidence: 99%

Uncharted Stable Peninsula for Multivariable Milling Tools by High-Order Homotopy Perturbation Method

et al. 2020

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In this work, a new method for solving a delay differential equation (DDE) with multiple delays is presented by using second- and third-order polynomials to approximate the delayed terms using the enhanced homotopy perturbation method (EMHPM). To study the proposed method performance in terms of convergency and computational cost in comparison with the first-order EMHPM, semi-discretization and full-discretization methods, a delay differential equation that model the cutting milling operation process was used. To further assess the accuracy of the proposed method, a milling process with a multivariable cutter is examined in order to find the stability boundaries. Then, theoretical predictions are computed from the corresponding DDE finding uncharted stable zones at high axial depths of cut. Time-domain simulations based on continuous wavelet transform (CWT) scalograms, power spectral density (PSD) charts and Poincaré maps (PM) were employed to validate the stability lobes found by using the third-order EMHPM for the multivariable tool.

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Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement

Cited by 11 publications

References 15 publications

Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method

Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method

Review on Chronic Obstructive Pulmonary Disease Prediction System using Wheeze and Crackle.

Uncharted Stable Peninsula for Multivariable Milling Tools by High-Order Homotopy Perturbation Method

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