Application of advanced statistical methods for extracting long-term trends in static monitoring data from an arch dam

Structural Health Monitoring

Volumn 10, Issue 6, 2011, Pages 587-601

  Loh, Chin Hsiung ^a   Chen, Chia Hui ^a   Hsu, Ting Yu ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

auto associate neural network; autoregressive model; nonlinear principal component analysis; singular spectral analysis; statistical analysis

Indexed keywords

AR MODELS; AUTO REGRESSIVE MODELS; AUTO-ASSOCIATE NEURAL NETWORK; AUTOASSOCIATIVE NEURAL NETWORKS; CONTINUOUS MONITORING; EARLY WARNING; LONG TERM MONITORING; LONG-TERM TREND; MULTI-STEP; NON-PARAMETRIC TECHNIQUES; NONLINEAR PRINCIPAL COMPONENT ANALYSIS; PRINCIPAL COMPONENTS; RESIDUAL DEFORMATION; SINGULAR SPECTRAL ANALYSIS; SINGULAR SPECTRUM ANALYSIS; STATIC DEFORMATIONS; THRESHOLD LEVELS;

ARCH DAMS; ARCHES; CONCRETE DAMS; DEFORMATION; HYDRAULIC STRUCTURES; INTERFEROMETRY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; STRUCTURAL HEALTH MONITORING; TIME SERIES;

MONITORING;

EID: 80455129453     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921710395807     Document Type: Article

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