Gaussian process time series model for life prognosis of metallic structures

Journal of Intelligent Material Systems and Structures

Volumn 20, Issue 8, 2009, Pages 887-896

  Mohanty, Subhasish ^a   Das, Santanu ^a   Chattopadhyay, Aditi ^a   Peralta, Pedro ^a  

^a Arizona State University   (United States)

Author keywords

2024 T351 aluminum alloy; Covariance function; Fatigue crack growth; Gaussian Process; Hyperparameters.; Maximum likelihood optimization; Prognosis; Variable loading

Indexed keywords

2024-T351 ALUMINUM ALLOY; COVARIANCE FUNCTION; FATIGUE CRACK GROWTH; GAUSSIAN PROCESS; HYPERPARAMETERS.; PROGNOSIS; VARIABLE LOADING;

ALUMINA; ALUMINUM; ALUMINUM ALLOYS; ANISOTROPY; BLOCK CODES; CRACKING (CHEMICAL); CRACKS; FATIGUE CRACK PROPAGATION; FATIGUE OF MATERIALS; GAUSSIAN NOISE (ELECTRONIC); LOADING; MAXIMUM LIKELIHOOD; MODEL STRUCTURES; OPTIMIZATION; PROCESS MONITORING;

GAUSSIAN DISTRIBUTION;

EID: 65649153376     PISSN: 1045389X     EISSN: 15308138     Source Type: Journal    
DOI: 10.1177/1045389X08099602     Document Type: Article

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