Autoregressive statistical pattern recognition algorithms for damage detection in civil structures

Mechanical Systems and Signal Processing

Volumn 31, Issue , 2012, Pages 355-368

  Yao, Ruigen ^a   Pakzad, Shamim N ^a  

^a Lehigh University   (United States)

Author keywords

Autoregressive modeling; Damage detection; Monte Carlo method; Statistical pattern recognition; Structural health monitoring; Time series analysis

Indexed keywords

ACCELERATION DATA; AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; AUTOREGRESSIVE MODELING; BOUNDARY DEFINITION; CIVIL STRUCTURE; COMPLEMENTARY METHODS; CONSTRUCTION METHOD; DAMAGE DETECTION TECHNIQUE; DETECTION METHODS; FEATURE EXTRACTION TECHNIQUES; HYPOTHESIS TESTING; LABORATORY EXPERIMENTS; LARGE-SCALE BRIDGES; MODEL SPECTRA; MULTI DEGREE-OF-FREEDOM; PATTERN CLASS; STATISTICAL CONTROL; STATISTICAL PATTERN RECOGNITION; STRUCTURAL DAMAGE ASSESSMENTS;

ALGORITHMS; DAMAGE DETECTION; FEATURE EXTRACTION; MONTE CARLO METHODS; STRUCTURAL HEALTH MONITORING; TIME SERIES ANALYSIS;

STATISTICS;

EID: 84861625185     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.02.014     Document Type: Article

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