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On-line monitoring approach based on artificial immune system for transmission system of helicopter

  • Zhan Sheng Liu*
  • , Wei Dou
  • , Xiao Wei Wang
  • , Guang Zhao
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

It is rather difficult to extract the state characters of helicopter from on-line monitoring, so a new approach which suits for on-line state monitoring of helicopter transmission system is presented. Based on the negative-selection mechanism of the natural immune system, the approach combined with artificial neural network adopts the improved negative selection algorithm for monitoring. The state characters of helicopter transmission system is extracted effectively through the new approach. Combined with the practice of helicopter transmission system, it can exactly reflect the abnormal degree of helicopter. The result of on-line monitoring example shows that the approach can exactly detect the degree of abnormality of helicopter transmission system and has better on-line quality, accuracy and robustness.

Original languageEnglish
Pages (from-to)739-744
Number of pages6
JournalHangkong Xuebao/Acta Aeronautica et Astronautica Sinica
Volume28
Issue number3
StatePublished - May 2007
Externally publishedYes

Keywords

  • Artificial immune system
  • Helicopter
  • Negative selection algorithm
  • On-line monitoring
  • Transmission system

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