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Journal ArticleDOI

Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure

TLDR
In this paper, a time series algorithm is presented for damage identification and localization, where the vibration signals obtained from sensors are modeled as autoregressive moving average (ARMA) time series.
About
This article is published in Journal of Sound and Vibration.The article was published on 2006-03-21. It has received 402 citations till now. The article focuses on the topics: Autoregressive–moving-average model.

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Citations
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Journal ArticleDOI

Emerging artificial intelligence methods in structural engineering

TL;DR: Techniques concerning applications of the noted AI methods in structural engineering developed over the last decade are summarized.
Journal ArticleDOI

Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

TL;DR: The biggest challenge in realization of health monitoring of large real-life structures is automated detection of damage out of the huge amount of very noisy data collected from dozens of sensors on a daily, weekly, and monthly basis.
Journal ArticleDOI

Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications

TL;DR: Time series modeling, i.e. auto-regressive models, is used in conjunction with Mahalanobis distance-based outlier detection algorithms to identify different types of structural changes on different test structures in the context of SHM using different laboratory structures.
Journal ArticleDOI

A novel machine learning‐based algorithm to detect damage in high‐rise building structures

TL;DR: A novel model is presented for global health monitoring of large structures such as high‐rise building structures through adroit integration of 2 signal processing techniques, synchrosqueezed wavelet transform and fast Fourier transform, an unsupervised machine learning technique, the restricted Boltzmann machine, and a recently developed supervised classification algorithm called neural dynamics classification (NDC) algorithm.
Journal ArticleDOI

Life-cycle of structural systems: recent achievements and future directions

TL;DR: A brief overview of the recent research achievements in the field of life-cycle engineering for civil and marine structural systems is presented in this paper, where the authors indicate future dire threats of structural degradation due to ageing, mechanical stressors, and harsh environment.
References
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Journal ArticleDOI

Introduction to Time Series and Forecasting.

Peter J. Brockwell, +1 more
- 01 Sep 1998 - 
TL;DR: A general approach to Time Series Modelling and ModeLLing with ARMA Processes, which describes the development of a Stationary Process in Terms of Infinitely Many Past Values and the Autocorrelation Function.
Book

Mathematical Statistics and Data Analysis

TL;DR: In this article, the authors present a model for estimating parameters and fitting of probability distributions from the normal distribution. But the model is not suitable for the analysis of categorical data.
Book

Introduction to time series and forecasting

TL;DR: In this paper, the authors present a general approach to time series analysis based on simple time series models and the Autocorrelation Function (AFF) and the Wold Decomposition.
ReportDOI

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

TL;DR: A review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response is presented in this article, where the authors categorize the methods according to required measured data and analysis technique.
Book

Theoretical and Experimental Modal Analysis

TL;DR: An elongated fishing lure includes an elongated body, a head at one end and a tail at the second end, with a series of integral outwardly projecting ribs at closely spaced points along the body to perform multiple significant functions.
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