On assessing the robustness of structural health monitoring technologies

Structural Health Monitoring

Volumn 11, Issue 6, 2012, Pages 712-723

  Stull, Christopher J ^a   Hemez, François M ^a   Farrar, Charles R ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

autoregressive model; decision making; information gap decision theory; model selection; Structural health monitoring; uncertainty

Indexed keywords

AUTO REGRESSIVE MODELS; DAMAGE-SENSITIVE FEATURES; HARDWARE AND SOFTWARE; INFORMATION-GAP; MODEL SELECTION; OPTICAL RESPONSE; QUALITATIVE APPROACH; QUANTITATIVE APPROACH; STRUCTURAL HEALTH MONITORING SYSTEMS; STRUCTURAL HEALTH MONITORING TECHNOLOGY; UNCERTAINTY;

DECISION MAKING; ENGINEERS; INDUSTRIAL APPLICATIONS; MONITORING;

STRUCTURAL HEALTH MONITORING;

EID: 84860715239     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921712451956     Document Type: Article

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