Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis.

Angulo, Ángela; Mares, Cristinel; Gan, Tat-Hean

Angulo, Ángela; Mares, Cristinel; Gan, Tat-Hean.

Afiliação

Angulo Á; TWI Ltd., Granta Park, Great Abington, Cambridge, Cambridgeshire CB21 6AL, UK.
Mares C; College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK.
Gan TH; College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK.

Sensors (Basel) ; 21(15)2021 Jul 24.

Article em En | MEDLINE | ID: mdl-34372266

Assuntos

Fadiga; Humanos; Estresse Mecânico

Palavras-chave

fatigue crack growth; filtering criterion; high-frequency signals; mooring chains; parametrical analysis; signal feature extraction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fadiga Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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