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.
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
.
DOI: 10.1007/s12204-015-1638-3
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