2004
DOI: 10.1016/s0022-460x(03)00785-5
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Power spectral density analysis for damage identification and location

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Cited by 61 publications
(34 citation statements)
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“…From Eq. (20) it is possible to infer that the spectral density function is a complete frequency decomposition of a stationary correlation function, providing information about the average energy distribution of a random process over the frequency domain.…”
Section: The Spectral-based Damage Identification Methodsmentioning
confidence: 99%
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“…From Eq. (20) it is possible to infer that the spectral density function is a complete frequency decomposition of a stationary correlation function, providing information about the average energy distribution of a random process over the frequency domain.…”
Section: The Spectral-based Damage Identification Methodsmentioning
confidence: 99%
“…In the last decades the use of power spectral densities has been extended to the field of damage identification. Liberatore et al [19,20] As this index cannot go beyond level 1 damage identification, in order to pinpoint the damage, the authors defined a Damage Localization function DL(x) by introducing a modal parameter in the formulation:…”
mentioning
confidence: 99%
“…All this explains the unceasing interest of the scientific community in the field of damage identification. In this regard, several techniques have been proposed over time: from traditional modal-based methods [Pandey et al 1991, Dong et al 1994, Brincker et al 1995, Abdel Wahab and De Roeck 1999, Kim and Stubbs 2013] to model-based techniques like the FE Model Updating [Reynders et al 2010, Gentile andSaisi 2007], from stochastic methods based on statistical properties of random signals [Liberatore andCarman 2004, Fang andPerera 2009] to more modern approaches, such as wavelet analysis transform [Gentile and Messina 2003], neural network and genetic algorithm [Vakil et al 2008]. A review of all techniques developed hitherto falls outside the scope of the present paper and the reader is referred to existing state-of-art papers (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Taking advantage of the plenty of response data in frequency domain, Liberatore and Carman [22] proposed an approach for damage identification by analyzing the power spectral density of the structure. The relative changes between input and output energies in specific bandwidths are regarded as the occurrence of damage.…”
Section: Introductionmentioning
confidence: 99%