Fault Diagnosis of Bus of Integrated Ship Electronic System Using Adaptive Fuzzy Petri Net[HS)]
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(Huanghe Science and Technology College, Zhengzhou 450063,China)
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摘要:
針對艦船電子綜合化系統總線(xiàn)故障診斷模糊性、不確定性的日益增強,且難以實(shí)現快速故障診斷的難題,提出一種基于自適應模糊Petri網(wǎng)(Adaptive Fuzzy Petri Net,AFPN)的艦船電子綜合化系統總線(xiàn)故障診斷方法;在加權模糊Petri網(wǎng)(Weighted Fuzzy Petri Net,WFPN)的基礎上,引入神經(jīng)網(wǎng)絡(luò )技術(shù),給出了AFPN的形式化定義及學(xué)習算法;實(shí)例分析驗證了所提方法的有效性,研究表明:AFPN模型具有很強的自適應能力和推理能力,克服了傳統單純依靠人工經(jīng)驗故障診斷的不確定性和偶然性,可以實(shí)現艦船電子綜合化系統總線(xiàn)快速精確的故障診斷。
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.