基于局部应力法的Bayes-神经网络舵板寿命预测  

Life Prediction of the Rudder With Bayes Estimation and Neural Networks Based on the Local Stress-Strain Method

作　　者：朱长波[1] 赵修平[2] 王凯[1] ZHU Changbo a ZHAO Xiuping b WANG Kai a(Naval Aeronautical and Astronautical University a. Graduate Students＇ Brigad b. Department of Airborne Vehicle Engineering, Yantai Shandong 264001, China)

机构地区：[1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院飞行器工程系,山东烟台264001

出　　处：《海军航空工程学院学报》2017年第4期376-382,共7页Journal of Naval Aeronautical and Astronautical University

摘　　要：舵板是某水下航行体的关重件,为预测其使用寿命,文章建立了舵板航行体的计算域模型,通过仿真并运用局部应力应变法,计算出舵板在特定环境应力下的寿命;利用贝叶斯估计的先验知识以及神经网络,联合预测出舵板在不同的环境应力下的使用寿命。The rudder is the very important part of the underwater vehicle launching, and to predict the life characteristics of the rudder, the computational domain model of the rudder and the underwater vehicle was built, and the working life of the rudder under the specific environment could be calculated by using the simulation and the local stress-strain method. Finally, the priori knowledge of the bayes estimation and the neural networks were used together, to make a further prediction of the rudder＇ s working life under the diffirent environment.

关 键 词：舵板 局部应力应变法 贝叶斯估计 神经网络 寿命预测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] U674.9[自动化与计算机技术—控制科学与工程]