基于贝叶斯网络和布尔逻辑的柴油机测试策略选择方法

Selection of Detection Strategy for Diesel Engine Based on Bayesian Network and Boolean Logic

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。

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.