CAJ | 학술논문

基于Petri网模糊推理算法,引入改进粒子群优化算法,使其具有参数学习能力,摆脱系统中众多未知参数对专家和经验的依赖.以舰船航空保障系统为研究对象,建立了基于具有学习能力FPN(Fuzzy Petri net)的系统易损性评估模型,算例佐证了其学习效率及精度.与传统系统易损性评估方法的对比试验表明该评估模型的全面性和合理性,并可推广应用于复杂舰船系统易损性评估研究.
기우Petri망모호추리산법,인입개진입자군우화산법,사기구유삼수학습능력,파탈계통중음다미지삼수대전가화경험적의뢰.이함선항공보장계통위연구대상,건립료기우구유학습능력FPN(Fuzzy Petri net)적계통역손성평고모형,산례좌증료기학습효솔급정도.여전통계통역손성평고방법적대비시험표명해평고모형적전면성화합이성,병가추엄응용우복잡함선계통역손성평고연구.
Based on fuzzy reasoning algorithm of fuzzy Petri net(FPN),modified particle swarm optimiza-tion was used to endow the FPN with learning ability,which made the determination of unknown weight coefficients in system get rid of experts or experiences.Taking aircraft guarantee system as subject inves-tigated.the vulnerability assessment model is constructed based on the FPN model with learning ability,and the test results prove its learn efficiency and precision.The experiment results comparison between the presented method and traditional assessment method demonstrates exhaustiveness and rationality of this model.This model would be applied to the complex ship system assessment.