基于测试数据的长期贮存装备实时健康状态评估

以导弹为代表的长期贮存装备具有“长期贮存、少量测试、一次使用”的特点，实时了解此类装备的健康状态有重要意义。根据长期贮存装备可靠性的变化，提出了一种基于时间修正的Dempster-Shafer 证据理论实时健康状态评估模型，将装备健康状态划分为5 级，利用长期贮存装备的测试数据值分别与上次非故障测试值、历史非故障测试均值、以及标准值加以比较，并对其进行时间修正，结合D-S证据理论融合多源信息，实现此类装备的实时健康状态评估。最后，利用某型装备的测试数据进行了实例分析，结果说明该模型在长期贮存装备实时健康状态评估方面具有良好的性能。

Real-time health condition assessment of long-term storage equipments based on testing data

The long-term storage equipments, represented by missiles, are characterized by long-term storage, several times of testing and usage for once. Assessing the health condition timely has an important significance. According to the reliability changes of equipment, a real-time health condition assessment model based on time correction and D-S evidence theory is put forward. The health condition is measured on a scale of 1 to 5. Testing values are compared with the last non-fault testing values, the past non-fault average testing values and the standard testing values. Then these values are corrected timely and combined by D-S evidence theory so as to realize real-time health condition assessment. At last, the model is applied to a certain type of equipment. The instance shows that this model improves the performance in the field of assessing health condition for long-term storage equipments.