2021
DOI: 10.1177/1475921721997068
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Online damage detection of earthquake-excited structure based on near real-time envelope extraction

Abstract: A robust real-time damage detection technique of earthquake-excited structures based on a new demodulation technique for nonlinear and non-stationary vibration signals through the identification of signal envelopes in real time is presented. In the present work, the need for the detection of envelope in a vibration signal in real time is addressed by reformulating the concept of Hermitian interpolation functions to a recursive Hermitian polynomial, which is a key entitlement of the present work. Once, the near… Show more

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Cited by 7 publications
(3 citation statements)
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“…One example is the application of Machine Learning (ML) for SHM systems [ 1 , 2 , 3 , 4 ], which rely on experimentally measured data or artificially collected data to properly train the ML model for classification. Other methods have also presented promising results, such as the eigen perturbation methodologies [ 5 , 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…One example is the application of Machine Learning (ML) for SHM systems [ 1 , 2 , 3 , 4 ], which rely on experimentally measured data or artificially collected data to properly train the ML model for classification. Other methods have also presented promising results, such as the eigen perturbation methodologies [ 5 , 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is highly desirable to address the missing data in the PCA and reconstruct them, if possible. Recent studies using online variants of PCA (e.g., first-order eigen-perturbation-based algorithms 34,35 ) have provided effective solutions for incomplete data. Meanwhile, probabilistic PCA (PPCA) can also address missing data by extending the PCA into a probabilistic formulation based on the Gaussian latent variable model.…”
Section: Introductionmentioning
confidence: 99%
“…4 Vibration-based damage identification methods are promising alternatives to the traditional nondestructive damage assessment techniques, such as ultrasonic-, infrared thermography-, and electromagnetic-based methods, due to the ease of implementation, low cost, and the possibility of global and continuous monitoring. These methods can identify the damage to a structure by examining the changes in the dynamic responses [5][6][7] or the modal parameters extracted from them, for example, natural frequencies and mode shapes. [8][9][10] Several numerical and experimental studies 11,12 have illustrated the effectiveness of using modal parameters for the damage identification of risers.…”
Section: Introductionmentioning
confidence: 99%