基于贝叶斯网络和布尔逻辑的柴油机测试策略选择方法

摘要

A method for selecting the detection strategy was put forward based on the Bayesian network and Boolean logic , taking the information increment combined with the test cost as the preferred criterion .With the Bayesian network ,the rela-tions of fault mode with its influential factors and testable resources were built and the testing scheme was designed .Consider-ing the restriction conditions such as fault probability ,information entropy and test cost ,the scheme was optimized with the Boolean logic .For the power shortage of a tank diesel engine ,the corresponding test strategy was determined .%提出了一种以贝叶斯网络和布尔逻辑算法为基础，将信息增量与测试费用结合作为优选判据的测试策略选择方法。利用贝叶斯网络建立了故障模式与故障影响因素、可测试资源的关系模型，设计了测试方案，考虑故障概率、信息熵、测试费用等约束条件，利用布尔逻辑算法对测试方案进行了优化选择。以某型坦克柴油机动力不足故障模式为例，实现了柴油机动力不足的测试策略选择。