Publication | Open Access
Detection and Localization of Multiple Damages through Entropy in Information Theory
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Citations
31
References
2021
Year
EngineeringMechanical EngineeringDamage AssessmentStructural EngineeringStructural IdentificationDamage MechanismData ScienceData MiningMultiple DamagesKolmogorov ComplexityInformation TheoryStructural Health MonitoringProbability TheoryAlgorithmic Information TheoryEntropyEntropy ProductionCivil EngineeringImprecise ProbabilityStructural AnalysisEntropy MeasuresWiener EntropyStructural MechanicsDamage EvolutionMechanics Of Materials
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.
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