A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

doi:10.1007/s12204-015-1638-3

上海交通大学学报（英文版） ›› 2015, Vol. 20 ›› Issue (3): 363-369.doi: 10.1007/s12204-015-1638-3

A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

BAI Lu* (白璐), DU Cheng-lie (杜承烈), GUO Yang-ming (郭阳明)

(School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China)

出版日期:2015-06-27 发布日期:2015-06-11
通讯作者: BAI Lu (白璐) E-mail:bailu614@sohu.com

A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

BAI Lu* (白璐), DU Cheng-lie (杜承烈), GUO Yang-ming (郭阳明)

(School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China)

Online:2015-06-27 Published:2015-06-11
Contact: BAI Lu (白璐) E-mail:bailu614@sohu.com

摘要/Abstract

摘要： To meet the requirement of the real-time, accuracy and multi-target diagnosis of the large radar system, a new fuzzy fault diagnosis method based on directed graph model is proposed in this paper. In this method, the large complex system model is defined using the directed graph model firstly, in which the nodes observing the fault by the hierarchical reconstruction of the directed graph are located, then the fault dependency matrix between these nodes and the fault sources are established. And then, we utilize the sensors’ alarm probabilities under different situations to build the characteristic fault observation matrix in the fault observation space. Finally, the optimized corresponding diagnosis method using a fuzzy function, which describes the similarity between the actual observation vector and the fault’s characteristic vector, is designed. The experimental results demonstrate that the proposed method can achieve high diagnosis efficiency and accuracy. It can be widely used in the real radar system.

关键词: fault diagnosis, directed graph, radar, fuzzy function

Abstract: To meet the requirement of the real-time, accuracy and multi-target diagnosis of the large radar system, a new fuzzy fault diagnosis method based on directed graph model is proposed in this paper. In this method, the large complex system model is defined using the directed graph model firstly, in which the nodes observing the fault by the hierarchical reconstruction of the directed graph are located, then the fault dependency matrix between these nodes and the fault sources are established. And then, we utilize the sensors’ alarm probabilities under different situations to build the characteristic fault observation matrix in the fault observation space. Finally, the optimized corresponding diagnosis method using a fuzzy function, which describes the similarity between the actual observation vector and the fault’s characteristic vector, is designed. The experimental results demonstrate that the proposed method can achieve high diagnosis efficiency and accuracy. It can be widely used in the real radar system.

Key words: fault diagnosis, directed graph, radar, fuzzy function

中图分类号:

TP 3-0

BAI Lu* (白璐), DU Cheng-lie (杜承烈), GUO Yang-ming (郭阳明). A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model[J]. 上海交通大学学报（英文版）, 2015, 20(3): 363-369.

BAI Lu* (白璐), DU Cheng-lie (杜承烈), GUO Yang-ming (郭阳明). A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(3): 363-369.

参考文献 10

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[6]	Maurya M R, Rengaswamy R. A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops [J]. Chemical Engineering Science, 2006, 61(6): 1790-1810.
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[8]	Song Qi-jiang, Xu Min-qiang, Wang Ri-xin. Spacecraft fault diagnosis based on hierarchical digraphs [J].Acta Aeronautica et Astronautica Sinica, 2009, 30(6):1058-1062 (in Chinese).
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A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

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