Search

Your search keyword '"Polverino, Antonio"' showing total 10 results
Start Over Author "Polverino, Antonio"
10 results on '"Polverino, Antonio"'

1. Finite Element Model of Structural Health Monitoring System Based on Ultrasonic Guided Waves on Remanufactured Components

Author

Aversano, Antonio, Polverino, Antonio, Lamanna, Giuseppe, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Fera, Marcello, editor, Caterino, Mario, editor, Macchiaroli, Roberto, editor, and Pham, Duc Truong, editor

Published
2024
Full Text
View/download PDF

3. Dimensionality Reduction in Structural Health Monitoring: A Case Study on Damaged Wind Turbine Blades.

Author

Rezazadeh, Nima, Polverino, Antonio, Perfetto, Donato, and De Luca, Alessandro

Subjects
*STRUCTURAL health monitoring, *WIND turbine blades, *PRINCIPAL components analysis, *FEATURE extraction, *RESEARCH personnel, *COMPOSITE materials
Abstract

In recent years, advances in structural health monitoring (SHM) of composite materials have been observed, driven by the adoption of intelligent diagnostic techniques. Vibration signals, which embed valuable structural health information, have been increasingly utilized in SHM. However, the high dimensionality of this data has necessitated significant computational resources and has made the differentiation between health states more complex. Highlighting the need for effective feature extraction and dimensionality reduction (DR), a study is conducted. In this research, advanced DR techniques, i.e., principal component analysis (PCA), locally linear embedding (LLE), t‐distributed stochastic neighbors embedding (t‐SNE), and uniform manifold approximation and projection (UMAP), are applied to an experimental dataset from a wind turbine blade under various health and environmental conditions (controlled‐environment vibration signals). The extracted features are then processed for the classification phase, and it is found that UMAP provides the best performance, albeit with a slightly increased computational demand. The findings from this research offer invaluable insights for researchers and engineers, assisting in the selection of the most appropriate DR method for SHM, and weighing up accuracy against computational time. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

8. Fe analyses for the assessment of the coverage area of a guided waves SHM system.

Author

Perfetto, Donato, De Luca, Alessandro, Polverino, Antonio, Aversano, Antonio, Lamanna, Giuseppe, and Caputo, Francesco

Subjects
STRUCTURAL health monitoring, ALUMINUM plates, ULTRASONIC waves
Abstract

Ultrasonic guided waves (GW) can inspect large structures since they can propagate long distances with low attenuation. They are widely used in Structural Health Monitoring (SHM) to extract useful information about the actual state of the component. However, in a finite plate, due to scattering caused by both damage and boundaries, the extraction of damage features from the recorded signals can be tricky and plays a key role in the implementation of this technology on real components. In this paper, starting from a developed damage detection algorithm, the sensitivity of an SHM system, based on GW propagation and piezoelectric (PZT) sensors, is numerically investigated. The test case consists of an aluminium plate equipped with five PZTs. Different damages are modelled outside the PZTs network coverage area, positioning them increasingly distant from the PZTs. Results of the Finite Element (FE) analyses allow to evaluate the effectiveness of the developed damage detection method and also to estimate the threshold distance across which detecting damage is prevented. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

9. Fe model for the validation of a damage detection method based on guided waves.

Author

Luca, Alessandro De, Perfetto, Donato, Polverino, Antonio, Aversano, Antonio, Lamanna, Giuseppe, and Caputo, Francesco

Subjects
STRUCTURAL health monitoring, MODEL validation, ALUMINUM analysis, SENSOR networks
Abstract

Guided wave (GW) propagation is one of the most effective damage identification and Structural Health Monitoring (SHM) techniques. SHM systems can provide numerous benefits in short and long term with respect to inspection and maintenance/repair operations. Typical GW-SHM system employ a piezoelectric (PZT) sensors network to diagnose the state of health of the component, allowing for a quasi-real time monitoring by comparing datasets recorded in two different states of the structure. In this paper, a novel damage detection and localization method is discussed. With respect to the actual state of the art, the developed algorithm can locate damages inside and outside the area covered by the PZTs. To assess its reliability, Finite Element (FE) analyses on an aluminium panel, equipped with five surface bonded sensors, have been carried out. Different damage positions have been analysed. The algorithm effectively works in all test cases, resulting in an image that highlights only the faulty area. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results