Abstract
The forecasting of equipment life prediction is one of the important work of equipment maitainability support. This paper built Grey Neural Network (GNN) combination prediction model which combined grey theory and BP neural network. The fluctuation of data sequence is weakened by the gray theory and the neural network is capable of processing non-linear adaptable information, and the GNN model is a combination of those advantages. This paper forecasted some equipment electronic equipment failure time by three grey models and GNN model. The result indicates that GNN model is better than grey model, and that it is a practical prediction method of high precision.
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