A comparison of some mode indicator functions

Rades, M.

doi:10.1006/mssp.1994.1033

Cited by 18 publications

(6 citation statements)

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“…As the name suggests, they are primarily indicators of the number of modes existing in a given frequency range, but most of them evolved to identification methods. They are discussed and compared in Rades (1994).…”

Section: T) (43)mentioning

confidence: 99%

Modal analysis identification techniques

Maia

Silva

2001

Philosophical Transactions of the Royal Society of London. Seri

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The objective of this paper is to give a general panorama of the subject of modal analysis identification techniques, as a detailed explanation is not possible due to the vast amount of available information concerning the many existing methods. Beginning with an introduction, followed by the various types of classification and a short historical note, the reader is led into the subject, although he or she needs much more information to delve deeper into specific details and developments of individual methods. This information is provided in the fundamental works and textbooks we have cited.

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Section: T) (43)mentioning

confidence: 99%

Modal analysis identification techniques

Maia

Silva

2001

Philosophical Transactions of the Royal Society of London. Seri

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“…17 show the mode shapes and phase scatter plots of the tuned and LSCE estimates of the first two modes which are almost coincident in frequency. The identification and separation of close modes provided much of the impetus to the development of force appropriation techniques, an area in which phase separation approaches have sometimes Experimental MMIF eigenvalues of perspex plate.…”

mentioning

confidence: 83%

“…A number of comparison studies have been carried out, including references [1,16,17], each using a limited number of the methods discussed. Wider-ranging comparisons have also been undertaken of both direct and iterative force appropriation methods using both simulated data [4], and experimental data from a benchmark structure [18].…”

Section: Comparison Studiesmentioning

confidence: 99%

Normal-Mode Force Appropriation—theory and Application

Wright

Cooper

Desforges

1999

Mechanical Systems and Signal Processing

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“…More recently, this method was used to monitor natural frequency variations in the context of SHM [ 14 , 22 ]. The idea is to monitor changes in the natural frequencies of a structure by estimating a frequency shift

that maximizes the normalized correlation coefficient [ 14 ]

where

is understood as an appropriate mode indication function [ 23 ]. The basic assumption is that this frequency-dependent quantity,

, undergoes a constant shift

in the frequency range

, as is also shown in Figure 1 .…”

Section: The Stretching Methods For Shmmentioning

confidence: 99%

Stretching Method-Based Damage Detection Using Neural Networks

Daskalakis

Panagiotopoulos

Tsogka

2022

Sensors

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We present in this paper a framework for damage detection and localization using neural networks. The data we use to train the network are m×d pixel images consisting of measurements of the relative variations of m natural frequencies of the structure under monitoring over a period of d-days. To measure the relative variations of the natural frequencies, we use the stretching method, which allows us to obtain reliable measurements amidst fluctuations induced by environmental factors such as temperature variations. We show that even by monitoring a single natural frequency over a few days, accurate damage detection can be achieved. The accuracy for damage detection significantly improves when a small number of natural frequencies is monitored instead of a single one. More importantly, monitoring multiple natural frequencies allows for damage localization provided that the network can be trained for both healthy and damaged scenarios. This is feasible under the assumption that damage occurs at a finite number of damage-prone locations. Several results obtained with numerically simulated data illustrate the effectiveness of the proposed approach.

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A comparison of some mode indicator functions

Cited by 18 publications

References 0 publications

Modal analysis identification techniques

Modal analysis identification techniques

Normal-Mode Force Appropriation—theory and Application

Stretching Method-Based Damage Detection Using Neural Networks

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