摘要
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,提出一种基于数据融合的机电设备状态评估方法。详细介绍机电设备的状态评估过程,运用D-S证据理论进行机电设备状态评估的决策层融合并进行仿真测试。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,能降低判断的模糊性,提高状态评估的可信度。
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.
出处
《兵工自动化》
2016年第8期91-93,共3页
Ordnance Industry Automation
关键词
机电设备
状态评估
数据融合
electromechanical equipment
state evaluation
data fusion
