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The fault diagnosis method in gas turbine startup process based on LOF pre-judging

  • Daren Yu*
  • , Huixin He
  • , Shuchang Liu
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The gas turbine condition monitoring and fault diagnosis can greatly improve the safety and reliability of the unit operation, which has great value in practice and high importance theoretically. When walking through this paper, readers can learn about the impact factors but also the weaknesses for the gas turbine start system. This paper also introduces the fault diagnosis method in gas turbine startup process based on LOF pre-judging method, which provides an analysis of the actual operation for the supported data after being classified and subtotaled. With the support of all the parts above, the evaluation of actual data will verify the validity of this method.

Original languageEnglish
Pages (from-to)2631-2636
Number of pages6
JournalICIC Express Letters
Volume6
Issue number10
StatePublished - 2012
Externally publishedYes

Keywords

  • Anomaly detection
  • Fault analysis
  • Gas turbine
  • Startup process

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