基于概率阈的冗余多故障诊断策略

针对冗余复杂系统的多故障诊断问题,为减小计算量和期望测试费用,设定一个概率值作为概率阈,忽略发生概率低于这个值的多故障状态,提出了一种基于概率阈的冗余多故障诊断策略。该策略首先对相关矩阵模型进行转化,并舍弃概率低于概率阈故障状态,然后用Rollout算法对基于信息熵的诊断策略进行优化,并给出了计算步骤与方法。实例表明,与文献中方法相比该策略虽然降低了一定的准确度,但减少了更大比例的期望测试费,而且降低了相关性矩阵模型的规模,缩短了计算时间。

Multiple Fault Diagnosis Strategy for Redundant System Based on Probability Threshold

Aimed at the problem of the multiple fault diagnosis of redundant system, a multiple fault diagnosis strategy for redundant system based on probability is proposed to reduce the computation and the expectant costs under condition that a probability value is set as a probability threshold and the multi-fault state whose probability is lower than the value of this probability threshold is neglected. First, this strategy is used to optimize the relation matrix model, and give up the multi-fault states whose probability is lower than the probability threshold. And then, Rollout algorithm is used to optimize the information entropy based diagnosis strategy. The example demonstrates that though the expectant costs are lowered by the strategy into a certain accuracy, a great proportion of the expectant test costs is reduced ,the size of the fault-test relation matrix model is minimized, and the calculation time is reduced.