Semiquantitative SDG Graphical Modeling for Complex System Fault Diagnosis

Yan Su

doi:10.4028/www.scientific.net/AMM.152-154.1601

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 152-154Semiquantitative SDG Graphical Modeling for...

Semiquantitative SDG Graphical Modeling for Complex System Fault Diagnosis

Abstract:

For the shortcomings of existing SDG modeling methods in fault diagnosis, a data-driven semi-quantitative SDG automatic graphical modeling approach and a direct manual SDG graphical modeling approach are investigated. Function failure analysis procedures and data modeling process based on system principle are introduced in detail, and relevant graphical modeling tool are developed. A fault diagnosis modeling for the air supply system of certain type of aircraft is taken as an illustration to verify the validity of proposed modeling method.

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Periodical:

Applied Mechanics and Materials (Volumes 152-154)

Pages:

1601-1606

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.152-154.1601

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Online since:

January 2012

Authors:

Yan Su

Keywords:

Complex System, Fault Diagnosis, Graphical Modeling, SDG

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References

[1] C.L. Wang, W.H. Zhang, C.G. Wu, Fault diagnosis and reasoning method research based on SDG model and fuzzy fusion, Computers and Applied Chemistry, 27-10 (2010) 1370-1374.

Google Scholar

[2] M. Iri, K. Aoki, E. O'Shima, A Graphical approach to the problem of locating the origin of the system failure, Operations Research, 23-4(1980) 295-3l1.

Google Scholar

[3] Maurya M R , Rengaswamy R , Venkatasubramanian V, A signed directed graph based systematic framework for steady state malfunction diagnosis inside control loops, Chemical Engineering Science , 61-6(2006) 1790-1810.

DOI: 10.1016/j.ces.2005.10.023

Google Scholar

[4] H.Z. Wang, B.Z. Chen, X.R. He, J.S. Zhao, T. Qiu, Open source signed digraph inference framework. CIESC Journal, 61-7(2010) 1829-1836.

Google Scholar

[5] F. Yang, D.Y. Xiao, Review of SDG modeling and its application, Control Theory & Applications, 22-5(2005) 767-774.

Google Scholar

[6] C.C. Yu, C. Lee, Fault diagnosis based on qualitative/quantitative process knowledge, AIChE Journal, 37-4(1991) 617-628.

DOI: 10.1002/aic.690370415

Google Scholar

[7] V. Venkatasubramanian, J.S. Zhao, S. Viswanathan, Intelligent Systems for HAZOP Analysis of Complex Process Plants, Computers and Chemical Engineering, 24-9-10(2000) 2291-2302.

DOI: 10.1016/s0098-1354(00)00573-1

Google Scholar

[8] R. Vaidhyanatha, V. Venkatasubramanian, Experience with an Expert System for HAZOP Analysis, Computers & Chemical Engineering, 20-96(1996) 1589-1594.

Google Scholar

[9] Zhang Bei-ke, Xia Tao, Wu Chong-guang, Integrated SDG Modeling, Inference and Post-Processing Software Platform, Journal of System Simulation, 15-10(2003) 1360-1363.

Google Scholar

[10] H. Zhou, H.F. Zuo, Research on SDG Model Automatic Construction Based on Function Structure Tree, China Mechanical Engineering, 22-5(2011) 566-570.

Google Scholar