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Anomaly detection of sensor faults and extreme events based on support vector data description

Author(s): ORCID (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China)
ORCID (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China)
ORCID (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China)
ORCID (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China)
ORCID (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 10, v. 29
DOI: 10.1002/stc.3047
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/stc.3047.
  • About this
    data sheet
  • Reference-ID
    10685877
  • Published on:
    13/08/2022
  • Last updated on:
    23/09/2022
 
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