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An online outlier identification and removal scheme for improving fault detection performance

  • Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Article number6658905
Pages (from-to)908-919
Number of pages12
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume25
Issue number5
DOIs
StatePublished - May 2014

ASJC Scopus Subject Areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Data analysis
  • fault diagnosis
  • neural networks
  • nonlinear systems.

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