A decomposition approach to the inverse problem-based fault diagnosis of liquid rocket propulsion systems

Erfu Yang*, Hongjun Xiang, Zhenpeng Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

The health monitoring of propulsion systems has being been one of the most challenging issues in space launch vehicles, particularly for the manned space missions. The development of an advanced health monitoring system involves many technical aspects, such as failure detection and fault diagnosis as well as the integration of hardware and algorithms, for improving the safety and reliability of propulsion systems. The inverse problem-based strategy provides a new solution to the design of model-based fault diagnosis methods for monitoring the health of propulsion systems. This paper presents a decomposition approach to the inverse problem-based fault diagnosis for a class of liquid rocket propulsion systems. Simulation results are provided for demonstrating the effectiveness of the proposed approach to the inverse problem-based fault diagnosis.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
PublisherIEEE
Pages1607 - 1612
Number of pages6
Volume2
ISBN (Print)4-907764-22-7
Publication statusPublished - Aug 2004
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 4 Aug 20046 Aug 2004

Conference

ConferenceSICE Annual Conference 2004
Country/TerritoryJapan
CitySapporo
Period4/08/046/08/04

Keywords

  • fault diagnosis
  • genetic algorithm
  • inverse problem
  • liquid rocket propulsion systems
  • system decomposition

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