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  • 标题:A Health Diagnosis Model for Sluices based on the Improved Evidence Combination Algorithm
  • 作者:Shengfeng Ao ; Jinping He ; Zhengquan Peng
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:189
  • 期号:2
  • 页码:022069
  • DOI:10.1088/1755-1315/189/2/022069
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:The traditional evidence theory is mainly used to solve the fusion problem with consistent or low conflict evidences. When the evidences are obvious conflicted, the traditional evidence theory may lead to unreasonable diagnosis results. In order to solve the information uncertainty in the health diagnosis of sluices and the obvious conflicts in the evidences in the diagnosis process, an improved evidence combination algorithm is applied to diagnose the health status of a sluice, which considers the conflict as a local conflict and takes into account the assignment of conflict information between the health states of conflict production when integrating the evidences. The example shows that the improved evidence combination algorithm can deal with the problem of evidence conflict more reasonably, and reflect the health state of the sluice more truly, which provides a new method for diagnosing sluices behavior.
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