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文章基本信息

  • 标题:Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations
  • 本地全文:下载
  • 作者:Nicolas Pous ; Denis Gingras ; Dominique Gruyer
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2017
  • 卷号:2017
  • DOI:10.1155/2017/1763934
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This work proposes a fault detection architecture for vehicle embedded sensors, allowing to deal with both system nonlinearity and environmental disturbances and degradations. The proposed method uses analytical redundancy and a nonlinear transformation to generate the residual value allowing the fault detection. A strategy dedicated to the optimization of the detection parameters choice is also developed.
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