Nearest neighbor and learning vector quantization classification for damage detection using time series analysis

Structural Control and Health Monitoring

Volumn 17, Issue 6, 2010, Pages 614-631

  De Lautour, Oliver R ^a   Omenzetter, Piotr ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Autoregressive models; Damage detection; Learning vector quantization; Nearest neighbor classification; Structural health monitoring; Time series analysis

Indexed keywords

ACCELERATION-TIME HISTORY; AR MODELS; AUTO REGRESSIVE MODELS; BENCHMARK STRUCTURE; CLASSIFICATION TECHNIQUE; DAMAGE CLASSIFICATION; DAMAGE STATE; DAMAGE-SENSITIVE FEATURES; DIMENSIONALITY REDUCTION; LEARNING VECTOR QUANTIZATION; NEAREST NEIGHBOR CLASSIFICATION; NEAREST NEIGHBORS; PHASE II; SAMMON MAPPING; SERIES ANALYSIS; STATISTICAL PATTERN RECOGNITION; STRUCTURAL HEALTH; TIME SERIES MODELS; TWO-DIMENSIONAL PROJECTION;

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; DAMAGE DETECTION; DATA REDUCTION; DATA VISUALIZATION; LEARNING ALGORITHMS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; STRUCTURAL HEALTH MONITORING; TIME SERIES; VECTOR QUANTIZATION; VISUALIZATION;

TIME SERIES ANALYSIS;

EID: 84856361730     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.335     Document Type: Article

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