Autoregressive modeling with state-space embedding vectors for damage detection under operational variability

International Journal of Engineering Science

Volumn 48, Issue 10, 2010, Pages 822-834

  Figueiredo, E ^a   Todd, M D ^b   Farrar, C R ^c   Flynn, E ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Damage detection; Multivariate Autoregressive model; State space reconstruction; Structural Health Monitoring

Indexed keywords

ACCELERATION TIME SERIES; AUTOREGRESSIVE MODELING; BUILDING STRUCTURE; DAMAGE MODES; DETERMINISTIC DYNAMICAL SYSTEMS; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL VARIABILITY; ENVIRONMENTAL VARIATIONS; FUTURE RESPONSE; GEOMETRICAL STRUCTURE; HEALTH CONDITION; HYPOTHESIS TESTS; LABORATORY ENVIRONMENT; MEASURED DATA; MULTI-CHANNEL; MULTIVARIATE AUTOREGRESSIVE (MAR) MODEL; MULTIVARIATE AUTOREGRESSIVE MODEL; NON-LINEAR RESPONSE; NON-LINEARITY; NONLINEAR TIME-SERIES ANALYSIS; SCALAR TIME SERIES; SOURCES OF VARIABILITY; STATE SPACE; STATE SPACE EMBEDDING; STATE-SPACE RECONSTRUCTION; STRUCTURAL HEALTH; SYSTEM RESPONSE; TEST CONDITION;

DYNAMICAL SYSTEMS; HEALTH; REPAIR; STRUCTURAL HEALTH MONITORING; STRUCTURES (BUILT OBJECTS); TIME SERIES; TIME SERIES ANALYSIS; VECTOR SPACES;

DAMAGE DETECTION;

EID: 77956266165     PISSN: 00207225     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijengsci.2010.05.005     Document Type: Article

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