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Volumn 5057, Issue , 2003, Pages 157-168

Identification of unusual events in multi-channel bridge monitoring data using wavelet transform and outlier analysis

Author keywords

Bridges; Long term monitoring; Multivariate statistics; Novelty detection; Outlier analysis; Wavelet transform

Indexed keywords

SENSORS; STRAIN; STRUCTURAL ANALYSIS; WAVELET TRANSFORMS;

EID: 0242636131     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.484640     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 4
    • 0003084487 scopus 로고    scopus 로고
    • Development of a Health Monitoring System for Civil Structures Using a Level IV Non-destructive Damage Evaluation Method
    • F. K. Chang (Ed.), Technomic, Lancaster
    • C. Sikorsky, "Development of a Health Monitoring System for Civil Structures Using a Level IV Non-destructive Damage Evaluation Method", Structural Health Monitoring 2000, F. K. Chang (Ed.), 68-81, Technomic, Lancaster, 1999.
    • (1999) Structural Health Monitoring 2000 , pp. 68-81
    • Sikorsky, C.1
  • 5
    • 0242601337 scopus 로고    scopus 로고
    • Detection of Anomalous Structural Behavior Using Wavelet Analysis
    • P. Moyo and J. M. W. Brownjohn, "Detection of Anomalous Structural Behavior Using Wavelet Analysis", Mechanical Systems and Signal Processing, 16(2/3), 429-445, 2002.
    • (2002) Mechanical Systems and Signal Processing , vol.16 , Issue.2-3 , pp. 429-445
    • Moyo, P.1    Brownjohn, J.M.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.