CAJ | 학술논문

采用贝叶斯方法对深水防喷器液控系统建立典型诊断网络模块，依据专家知识以及历史统计数据确定贝叶斯网络中的节点参数，包括节点的先验概率和节点之间的条件概率。对防喷器关闭诊断贝叶斯网络进行了试验，诊断结果基本符合实际。证明了应用贝叶斯网络方法对深水防喷器液控系统进行故障诊断研究的可行性。
채용패협사방법대심수방분기액공계통건립전형진단망락모괴，의거전가지식이급역사통계수거학정패협사망락중적절점삼수，포괄절점적선험개솔화절점지간적조건개솔。대방분기관폐진단패협사망락진행료시험，진단결과기본부합실제。증명료응용패협사망락방법대심수방분기액공계통진행고장진단연구적가행성。
The typical diagnosis network module for deepwater BOP hydraulic control system that base on Bayesian methods is established.On the basis of expert knowledge and historical statistics to determine the Bayesian network node parameters,including the nodes’priori probability and conditional probability between nodes.The diagnostic Bayesian network of BOP close is tested, and the results are more accurate diagnosis,in line with reality.Demonstrate the feasibility of the application of Bayesian networks for deepwater BOP hydraulic control system fault diagnosis.