Title :
Fault Diagnosis Based on Fuzzy Probability SDG in Complex System
Author :
Lin, Zhu ; Jie, Chen ; Wenjie, Chen ; Fang, Deng
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
In large-scale complex system, the fault association is completed and varies with the system working status. In this paper, a new fault description -fuzzy probability SDG model (FPSDG) is proposed by introducing the status association probability and fuzzy information. The modeling method and procedure of diagnosis is also proposed after analyzing the information transfer characteristic of the proposed model. On this basis, the message node and route is introduced to connect the FPSDG of those subsystems, and then the FPSDGS model of whole complex system is constructed. The model can model the complicated association of system malfunction and diagnose. Finally, with the proposed method, a fault diagnosis system of a weapon carrier is built. The experiment result of this system proved the effectivity and utility of this model.
Keywords :
fault diagnosis; fuzzy set theory; probability; weapons; fault association; fault diagnosis; fuzzy probability SDG; information transfer characteristic; large-scale complex system; status association probability; weapon carrier; Fault diagnosis; Fuzzy control; Fuzzy systems; Information analysis; Information science; Large-scale systems; Object oriented modeling; Weapons; Fuzzy Probability SDG system; fault diagnosis; object-oriented; status association probability;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347499
