Research on Fault-relating Pattern of Mechanical System Based on Cellular Automata

被引：0

作者：

Yan, Gao ^{[1
]}

Xiang, Zhao ^{[1
]}

机构：

[1] Yangzhou Polytech Coll, Yangzhou, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS | 2012年 / 8349卷

关键词：

Cellular automata; mechanical system; fault-relating; pattern analysis; DIAGNOSIS;

D O I：

10.1117/12.920536

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：5

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