基于证据推理的激光惯组最优维护方法

为解决激光惯组存在的故障样本获取困难和监测维护周期不合理等问题,采用一种融合多元信息的性能评估方法对激光惯组的性能进行评估。首先,综合考虑了惯组指标信息的权重和可靠度,基于证据推理融合多元信息得到激光惯组性能评估结果。其次,根据性能评估结果,通过维纳过程预测综合考虑激光惯组的监测维护成本和性能设计要求,在满足性能状态要求前提下以单位时间内期望维护成本最小为目标,确定最优维护时机。最后,使用某型号激光惯组进行了实验验证,说明所提出的方法的有效性。

Optimal Maintenance Method of LIMU Based on Evidence Reasoning

In order to solve the problems existing in the laser gyroscope inertial measuring unit (LIMU),such as the difficulty in obtaining the failure data and the unreasonable monitoring and maintenance strategy,etc.,a performance evaluation method based on multi-information fusion is used to evaluate the performance of LIMU.The weight and reliability of the index information were considered synthetically,and the multi-information was fused based on the evidence reasoning (ER) approach,so that the performance evaluation result of the LIMU was obtained.According to the performance evaluation results,considering the monitoring and maintenance cost and reliability design requirements of LIMU,the optimal maintenance time was determined with the minimum expected maintenance cost in unit time as the goal.Finally,one LIMU was applied to verify the effectiveness of the proposed method.