Fault Diagnosis Method Based on Integration Signed Directed Graph with Quantitative Knowledge

Zheng Yan; Xiao Hui Peng; Yu Qiang Cheng; Jian Jun Wu

doi:10.4028/www.scientific.net/AMM.232.359

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 232Fault Diagnosis Method Based on Integration Signed...

Fault Diagnosis Method Based on Integration Signed Directed Graph with Quantitative Knowledge

Abstract:

Signed Directed Graph (SDG) has been widely applied to model the cause and effect behavior of process systems in recent years. However, SDG-based diagnosis has poorly discriminatory ability, because of the information loss while going from quantitative to qualitative domain. In this paper, a new method combining SDG with quantitative knowledge is presented to improve the discriminatory ability. In the method, a hybrid reasoning (forward and backward) strategy based on assumption and verification was applied to find all the potential fault sources and corresponding consistent paths in SDG model. Then the SDG-based method was modified by integrating governing equation and temporal information of the system, in order to improve the discriminatory ability. The method has been validated by the artificial telemetry data, and the effectiveness of the method has been confirmed. The method proposed can provide important practical value for the development of on-board fault diagnosis system of spacecraft propulsion systems.

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Mechanical and Aerospace Engineering, ICMAE2012

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Periodical:

Applied Mechanics and Materials (Volume 232)

Pages:

359-363

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.232.359

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Online since:

November 2012

Authors:

Zheng Yan, Xiao Hui Peng, Yu Qiang Cheng, Jian Jun Wu

Keywords:

Fault Diagnosis, Qualitative Diagnosis, Quantitative Knowledge, Signed Directed Graph, Spacecraft Propulsion System

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