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Determination of frequency response functions from response measurements—ii. regeneration of frequency response from poles and zeros

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TLDR
In this article, the effect of out-of-band modes on the in-band FRF, during such development, is investigated. Butler et al. proposed a complete method to track changes in a frequency response function (FRF) which might be caused by a variety of reasons such as the development of local material damage.
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This article is published in Mechanical Systems and Signal Processing.The article was published on 1996-05-01. It has received 41 citations till now. The article focuses on the topics: Frequency response & Equaliser.

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Journal ArticleDOI

Cyclostationarity by examples

TL;DR: In this paper, a tutorial on cyclostationarity oriented towards mechanical applications is presented, with 20 examples devoted to illustrating key concepts on actual mechanical signals and demonstrating how cyclostatarity can be taken advantage of in machine diagnostics, identification of mechanical systems and separation of mechanical sources.
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A history of cepstrum analysis and its application to mechanical problems

TL;DR: In this paper, it was shown that even though it is not possible to apply the complex cepstrum to stationary signals, it is possible to extract the modal part of the response (with a small extra damping of each mode corresponding to the window) and combine this with the original phase to obtain edited time signals.
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Sensitivity-based operational mode shape normalisation: Application to a bridge

TL;DR: In this paper, an innovative sensitivity-based technique was introduced for the normalisation of operational mode shapes purely on a basis of output-only data The technique is based on the use of a controlled mass modification experiment and does not involve any analytical models Moreover, it allows to extend the applicability of many modal analysis based applications towards the domain of in-operation modal testing
Journal ArticleDOI

Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks

TL;DR: In this article, a response-only structural health monitoring technique that utilizes cepstrum analysis and artificial neural networks for the identification of damage in civil engineering structures is presented. But the method is limited to a single excitation.
Journal ArticleDOI

A structural health monitoring strategy using cepstral features

TL;DR: Results demonstrate that the proposed approach may be conveniently used in real-life applications, since cepstral features outperform AR coefficients when dealing with experimental data modeled to mimic the operational and environmental variability.
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