Semiquantitative SDG Graphical Modeling for Complex System Fault Diagnosis

Author:

Su Yan1

Affiliation:

1. Nanjing University of Aeronautics and Astronautics

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.

Publisher

Trans Tech Publications, Ltd.

Reference10 articles.

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.

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.

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.

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.

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

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