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Proceedings Paper

Research on fault-relating pattern of mechanical system based on cellular automata
Author(s): Yan Gao; Xiang Zhao
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Paper Abstract

There are usual complex causal relationships among faults to constitute complex system. Based on the introduction of Cellular Automata (CA) and its evolution theory, fault-relating pattern analysis method based on CA was studied. Application of CA for fault-relating pattern was proposed. Extended CA (ECA) and its algorithm were also proposed. Simulation and analysis for evolvement of complex process of multi-fault relating chain were realized. The example analysis of mechanical system fault-relating based on CA shows that the proposed ECA method breaks through limit of spatial rules and homogeneity homogeneous of CA and provides a suitable analytical tool for researches on fault-relating pattern. The preliminary study and explore results show that the method can effectively reveal the association patterns among many fault in the system.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491J (13 January 2012); doi: 10.1117/12.920536
Show Author Affiliations
Yan Gao, Yangzhou Polytechnic College (China)
Xiang Zhao, Yangzhou Polytechnic College (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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