基于数据融合的机电设备状态评估方法

针对机电设备状态评估中测试信息模式不一、定量和定性信息共存等问题,提出了基于数据融合的状态评估方法,运用D-S证据理论进行了机电设备状态评估的决策层融合。理论分析和仿真结果表明,将数据融合技术应用于机电设备的状态评估是可行和有效的,不同评估方法提供的决策信息经过多次融合、反复抽取有用信息后,降低了判断的模糊性,提高了状态评估的可信度。

Method of State Evaluation for Electromechanical EquipmentBased on Data Fusion

A method of state evaluation based on data fusion is proposed for the difference of test mode, admixture of quantitative and qualitative test information in the electromechanical equipment. The decision level fusion had been used in the state evaluation of electromechanical equipment by using D-S evidence theory. The theory analysis and the simulation results show that it is feasible and effective that the data fusion technology was applied on the state evaluation of electromechanical equipment. The results fused by different testing reduce the fuzziness of judgment and raises the reliable of state evaluation.