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A self-matching model for online anomaly recognition of safety monitoring data in dams

Author(s): (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, China)
(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, China)
(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, China)
(Dam Management Center of Dadu River Hydropower Development Co., LTD., Chengdu, Sichuan, China)
(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, China)
(Dam Management Center of Dadu River Hydropower Development Co., LTD., Chengdu, Sichuan, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172210746
DOI: 10.1177/14759217221074603
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: 10.1177/14759217221074603.
  • About this
    data sheet
  • Reference-ID
    10665297
  • Published on:
    09/05/2022
  • Last updated on:
    20/02/2023
 
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