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State prediction algorithm for electromechanical equipment based on information fusion

机译:基于信息融合的机电设备状态预测算法

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A method of state prediction based on information fusion is proposed for the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction. This method fused decision level information of electromechanical equipments by using DS evidence theory. Simulation results show that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.
机译:针对机电设备状态测试的测试模式,定量和定性混合信息的差异,提出了一种基于信息融合的状态预测方法。该方法利用DS证据理论融合了机电设备的决策水平信息。仿真结果表明,将信息融合技术应用于机电设备状态预测是可行和有效的。通过不同的预测方法反复集成的决策信息,可以大大减少判断的盲目性,提高状态预测的准确性。

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