Study on grading of health condition of aerospace propulsion system

Yan Kai Wang, Ming Fu Liao

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

A quantitative evaluation program of health condition of aerospace propulsion system was presented to improve the operability of health condition evaluation of aerospace engines. There are several influential factors to the health of engines, such as: probability of fault, degree of fault and loss risk etc, all of which are random and fuzzy. With fuzzy evaluation theory, then grading of health condition of aerospace propulsion system was confirmed based on maximal membership rule and maximal fatalness rule. Fault simulation was conducted numerically for two sets of engines, showing that this method is applicable and reasonable.

Original languageEnglish
Pages (from-to)939-945
Number of pages7
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume23
Issue number5
StatePublished - May 2008

Keywords

  • Aerospace propulsion system
  • Fuzzy evaluation
  • Grading of health condition
  • Maximal fatalness rule
  • Maximal membership rule

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