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Classifying Linear and Nonlinear Structural Damage Using Frequency Domain ARX Models

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TLDR
Structural health monitoring can be viewed as a problem in statistical pattern recognition involving operational evaluation, data cleansing, damage identification, and life prediction as mentioned in this paper, and it can be seen as a special case of the problem of pattern recognition.
Abstract
Structural health monitoring can be viewed as a problem in statistical pattern recognition involving operational evaluation, data cleansing, damage identification, and life prediction. In damage id...

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Journal ArticleDOI

Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods

TL;DR: In this article, an experimental assessment of several vibration based statistical time series methods for Structural Health Monitoring (SHM) is presented via their application to a lightweight aluminum truss structure.
Journal ArticleDOI

Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications

TL;DR: The state of the art and challenges to TF analysis that cast SHM in the context of a system identification (SI) paradigm are reviewed and discussed in this study.
Journal ArticleDOI

An Outlier Analysis Framework for Impedance-based Structural Health Monitoring

TL;DR: This paper proposes to use statistical pattern recognition methods to address damage classification and data mining issues associated with the examination of large numbers of impedance signals for health monitoring applications to develop a robust damage classifier.
Journal ArticleDOI

A review paper on looseness detection methods in bolted structures

TL;DR: In this paper, the authors present a survey of 16 methods used to evaluate the AXIAL FORCE of BOLTED STRUCTURES, and compare them with their respective results.
References
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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

Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework

TL;DR: In this paper, the authors define and define Cumulants and Cumulant Spectra, and present a method for the estimation of polyspectra of deterministic signals, based on non-minimum phase signal reconstruction.
Journal ArticleDOI

Representations of non-linear systems: the NARMAX model

TL;DR: In this paper, it is shown that the NARMAX (Non-linear AutoRegressive Moving Average with eXogenous inputs) model is a general and natural representation of non-linear systems and contains, as special cases, several existing nonlinear models.
Book

Nondestructive testing handbook

TL;DR: The ASNT Industry Handbook as mentioned in this paper contains a section on applications and new information based on computer advances in imaging and data processing, which is intended to be used with a comprehensive NDT text such as volumes from the Nondestructive Testing Handbook series.
Journal ArticleDOI

Vibration–based structural damage identification

TL;DR: Current research regarding feature selection and statistical model development will be emphasized with the application of vibration–based damage detection to a large–scale laboratory structure.
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