基于AFPN的舰船电子综合化系统总线故障诊断研究

Fault Diagnosis of Bus of Integrated Ship Electronic System Using Adaptive Fuzzy Petri Net[HS)]

摘要:

针对舰船电子综合化系统总线故障诊断模糊性、不确定性的日益增强,且难以实现快速故障诊断的难题,提出一种基于自适应模糊Petri网(Adaptive Fuzzy Petri Net,AFPN)的舰船电子综合化系统总线故障诊断方法；在加权模糊Petri网(Weighted Fuzzy Petri Net,WFPN)的基础上,引入神经网络技术,给出了AFPN的形式化定义及学习算法；实例分析验证了所提方法的有效性,研究表明:AFPN模型具有很强的自适应能力和推理能力,克服了传统单纯依靠人工经验故障诊断的不确定性和偶然性,可以实现舰船电子综合化系统总线快速精确的故障诊断。

Abstract:

In view of the problem that there are more fuzziness and uncertainty in the fault diagnosis (FD) of bus of integrated ship electronic system and it is hard to achieve FD rapidly,this paper proposed a new approach of FD for bus of integrated ship electronic system by adaptive fuzzy petri net (AFPN).On the basis of weighted fuzzy petri net(WFPN), neural network technology is introduced and the formalize definition and learning algorithm of AFPN are given. A case study of BN is given to verify the proposed approach. The case study shows that the AFPN model has good adaptive ability and reasoning ability, avoiding the uncertainty and contingency coming from personnel experience. The proposed approach can achieve FD of bus of integrated ship electronic system rapidly and accurately.