基于概率阈的冗余多故障诊断策略  

Multiple Fault Diagnosis Strategy for Redundant System Based on Probability Threshold

作　　者：黄以锋[1] 景博[1] 喻彪 李健君[1] 

机构地区：[1]空军工程大学航空航天工程学院 [2]61267部队

出　　处：《空军工程大学学报（自然科学版）》2014年第5期1-5,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(51201182)

摘　　要：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。Aimed at the problem of the multiple fault diagnosis of redundant system, a multiple fault diag- nosis strategy for redundant system based on probability is proposed to reduce the computation and the ex- pectant 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 strate- gy 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 en- tropy 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.

关 键 词：冗余系统 多故障诊断 诊断策略 ROLLOUT算法 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]