基于测试数据的长期贮存装备实时健康状态评估  

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

作　　者：王亮[1] 吕卫民[1] 滕克难[2] 

机构地区：[1]海军航空工程学院战略导弹工程系,山东烟台264001 [2]海军航空工程学院训练部,山东烟台264001

出　　处：《系统工程与电子技术》2013年第6期1212-1217,共6页Systems Engineering and Electronics

基　　金：国家部委预研基金(9140A19030811JB1401;9140A27020110JB1404)资助课题

摘　　要：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D-S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实例分析,结果表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。According to the reliability changes of long-term storage equipment, a real time health condition assessment model based on time correction and D-S evidence theory is proposed. The health condition is meas ured 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. Finally, the model is used to a certain type of equipment. The results show that this model improves the performance in the field of assessing health condition for long term storage equipment.

关 键 词：健康状态评估 预测与健康管理技术 时间修正 证据理论 长期贮存装备 

分 类 号：TJ07[兵器科学与技术—兵器发射理论与技术]