Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data

Advanced Engineering Informatics

Volumn 29, Issue 4, 2015, Pages 902-917

  Jung, In Soo ^a   Berges, Mario ^a   Garrett, James H ^b   Poczos, Barnabas ^c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Institute of Technology   (United States)

^c NONE   (United States)

Author keywords

Anomaly detection; Dam safety; Statistical techniques; Structural health monitoring

Indexed keywords

EMBANKMENT DAMS; EMBANKMENTS; NORMAL DISTRIBUTION; SIGNAL DETECTION; STRUCTURAL HEALTH MONITORING;

ANOMALY DETECTION; ANOMALY PREDICTIONS; DAM SAFETY; DATA ANALYSIS TECHNIQUES; KULLBACK LEIBLER DIVERGENCE; NON-PARAMETRIC TECHNIQUES; POSTERIORI ANALYSIS; STATISTICAL TECHNIQUES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84960809979     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2015.10.002     Document Type: Article

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