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  • 标题:Frequency-model-based obstruction detection and location in a pipeline by output error minimization
  • 本地全文:下载
  • 作者:Ignacio Rubio Scola ; Gildas Besangon ; Didier Georges
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:21
  • 页码:232-237
  • DOI:10.1016/j.ifacol.2015.09.533
  • 语种:English
  • 出版社:Elsevier
  • 摘要:In this paper, the problem of obstruction detection and location in pipelines is considered. On the basis of a frequency modeling of pipeline dynamics together with the obstruction effect, a new algorithm is proposed: it basically amounts to obstruction direct identification, by some output error minimization technique. The proposed method is shown to be pretty efficient via simulation results.
  • 关键词:Fault identificationOptimizationPipelineObstructionFrequency modelling
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