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According to the problem that unique forecasting model usually can’t perform well as expected when the forecasting outcome of equipment condition relies on multi-dimensional characteristic parameters, a combination of forecasting output mode is taken as the combination forecasting method of condition. Considering the fact that static weighted combination forecasting methods often runs short in ability of generalization when dealing with complicate time series data, a variable weighted combination forecasting method based on Elman neural network is proposed. Genetic algorithm is utilized to optimize structural parameters of the network, the modeling process of forecasting model is finally determined. Finally, the model is verified by study of a case.