Detection and Localization of Multiple Damages through Entropy in Information Theory

Autor:	Rosario Ceravolo, Marco Civera, Erica Lenticchia, Gaetano Miraglia, Cecilia Surace
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Wiener entropy structural health monitoring pipeline integrity management damage detection damage localization damage severity assessment Technology Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Zdroj:	Applied Sciences, Vol 11, Iss 13, p 5773 (2021)
Druh dokumentu:	article
ISSN:	2076-3417 82567913
DOI:	10.3390/app11135773
Popis:	According to recent works, entropy measures, and more specifically, spectral entropies, are emerging as an efficient method for the damage assessment of both mechanical systems and civil structures. Specifically, the occurrence of structural system alterations (intended in this work as stiffness reduction) can be detected as a localized change in the signal entropy. Here, the Wiener Entropy (also known as the Spectral Flatness) of strain measurements is proved as a viable tool for single and multiple damage assessment, including damage detection, localization, and severity assessment. A case study from oil & gas engineering, i.e., a finite element model of a buried steel pipeline, is utilized for this aim.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/335ee412e5b4466da82567913f677f34 Zobrazit plný text záznamu View record in DOAJ