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An efficient online outlier recognition method of dam monitoring data based on improved M-robust regression

Author(s): ORCID (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China)
ORCID (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China)
(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China)
(China Energy Dadu River Hydropower Development Co. Ltd, Chengdu, China)
(China Energy Dadu River Hydropower Development Co. Ltd, Chengdu, China)
ORCID (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172211020
DOI: 10.1177/14759217221102060
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: 10.1177/14759217221102060.
  • About this
    data sheet
  • Reference-ID
    10680439
  • Published on:
    18/06/2022
  • Last updated on:
    20/02/2023
 
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