基于动态贝叶斯网络的调距桨任务可靠性模型及应用  

Mission Reliability Model and Application of Controllable Pitch Propeller Based on Dynamic Bayesian Networks

作　　者：王校锋[1] 戚珩[2] 

机构地区：[1]海军装备部上海局,上海200083 [2]中国船舶重工集团公司第704研究所,上海200031

出　　处：《机电设备》2013年第3期20-25,共6页Mechanical and Electrical Equipment

摘　　要：为了解决调距桨在可靠性分析时动态的、可修复性的问题,引入了一种基于动态贝叶斯网络理论的新方法,提出了动态的和可修复的可靠性建模分析技术,弥补了传统方法在动态可靠性分析时模型描述上的局限性及算法上的缺陷问题。在模型方面,用贝叶斯网络能有效地刻画系统的动态行为、修复行为;在此基础上建立了系统任务可靠度数学模型,运用MATLAB软件中贝叶斯网络工具箱编写了MATLAB计算语句,输入有关元件的故障率与修复率能够实现推进装置的任务可靠性数值仿真。In order to solve the dynamic and repairable ploblems of controllable pitch propeller （CPP） during the reliability analysis＇, a new method based on dynamic Bayesian network （DBN） is＇ presented. Dynamic and repairable reliability modeling, and analysis＂ technique is presented. The defects of traditional dynamic analysis method on the describing model and the algorithms are made up. In terms of the model, the dynamic and repairable behavior of the system is described effectively by using Bco. ,esian networks. On the basis of this, the mathematical model of mission reliability of the system is established. MATLAB computing statements are written by using Bayesian network toolbox in MATLAB software. Importing the failure rate and repair rate of the relevant components, numerical simulation of CPP＇s mission reliability can be realized.

关 键 词：贝叶斯网络 动态系统 任务可靠性 建模 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]