Damage Detection and Localization Using Autocorrelation ...

In this paper, autocorrelation functions (ACF) replace the direct response measurements in the time-domain data analysis.

Request PDF | Damage Detection and Localization Using Autocorrelation Functions with Spatiotemporal Correlation | In vibration-based structural health ...

Damage Detection and Localization Using Autocorrelation ...

Damage Detection and Localization Using Autocorrelation Functions with Spatiotemporal Correlation ; Parent publication type. Conference. Article type ; Peer- ...

An auto-correlation-based method for structural damage ...

Sensitivity analysis for normalized AMV on a numerical model of 8-story frame structure shows its potential of damage localization. Damage identification ...

Structural damage detection and localization via an unsupervised ...

... Autocorrelation, and Continuous Wavelet Transform (CWT), failed to yield the best outcomes in both anomaly detection and damage localization.

(PDF) Damage detection method using autocorrelation | Sally ...

... identification, localization and quantification of structural damage possible. ... 7 CONCLUSIONS A damage detection method using vibration analysis and ...

On the use of the autocorrelation function to identify the damage in ...

This can be used to detect damage occurrence. In this paper, an autocorrelation function was utilized to identify damage in the side shell of ship structures ...

Time series-based damage detection and localization algorithm with ...

In this paper, a time series algorithm is presented for damage identification and localization. The vibration signals obtained from sensors are modeled as ...

An experimental study on distributed damage detection algorithms ...

ACF-CCF method. This damage detection and identification method uses the autocorrelation ... Damage detection and correlation-based localization using wireless ...

GP-ARX-Based Structural Damage Detection and Localization ...

The representation of structural dynamics in the absence of physics-based models, is often accomplished through the identification of parametric models, ...

Towards Multiclass Damage Detection and Localization using ...

The main objective of this thesis is to develop algorithms capable of damage identification and localization using limited measurements that can ...

Damage Identification of Ancient Timber Structure Based on ...

Therefore, the autocorrelation peak rate of change damage localization ... , Structural damage detection using auto correlation functions of ...

Acoustic emission based damage localization in composites ...

Algorithm 1 Source localization with Bayesian identification using sensor cross-correlation. Input: Sensor signal data: X = {xi : xi = [xi[1] ...

A Step toward Passive Sensing YS Chang1,2 and FG Yuan1,2

Damage Detection and Isolation via Autocorrelation: A Step toward Passive Sensing ... damage detection and localization in this study. The merits of Eq. (2) ...

Damage detection and localization via cross-correlation on metallic ...

Self-Green's functions (SGF) were reconstructed using auto-correlation (AC) at 169 (13 × 13) sensing points covering a 150 mm ´ 150 mm area. Mean square ...

Time series-based damage detection and localization algorithm with ...

Autocorrelation function of the normalized data. ARTICLE IN PRESS K.K. Nair et al. / Journal of Sound and Vibration 291 (2006) 349–368 353 Fig. 3. Variation of ...

The Auto-Correlation of Ultrasonic Lamb Wave Phased Array Data ...

In order to testify the feasibility of this method for damage detection, the experiments were carried out on three thin aluminum plates combined with the total ...

Time series-based damage detection and localization algorithm with ...

Semantic Scholar extracted view of "Time series-based damage detection and localization algorithm with application to the ASCE benchmark ...

Damage Detection with Ambient Vibra tion Data Using Time Series ...

Bridge Damage Identification Using Deep Neural Networks on Time ...

... autocorrelation function, the ... Vibration-based multiclass damage detection and localization using long short-term memory networks.