Model and algorithm of inverse-problems on fault diagnosis for propulsion systems

Erfu Yang, Zhenpeng Zhang, Guoqiu Liu

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

According to the requirements of study on fault diagnosis of large-scale liquid rocket propulsion systems, an inverse-problem model on fault diagnosis has been established and an algorithm to solve the model has also been put forward. The method is based on genetic algorithm (GA). After investigation on characteristics and difficulties of inverse-problems on fault diagnosis, the algorithm used for solving the inverse-problems is studied emphatically. Finally, an application example obtained from inverse-problem model by genetic algorithm is also illustrated, which demonstrates that the above-mentioned inverse-problem model and algorithm are sound and effective.

Original languageEnglish
Pages (from-to)684-687
Number of pages4
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume25
Issue number6
Publication statusPublished - 1 Dec 1999

Keywords

  • liquid rocket propulsion system
  • propulsion fault diagnosis

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