关键词: GA优化, 旋转机械, 预测模型

Abstract: A trend predicting is a key technology to achieve the advanced predictive maintenance. A prediction of neural network model is a new way to achieve the trend predicting. The present predicting models of neural networks for working conditions prediction to rotary machinery are comparatively poor in adaptability to environment and in accuracy of predicting; In view for the problems a new way of on-line optimization for trend predicting is put forward. Using the capability of parallel search with genetic algorithm (GA) dynamically optimizes the structure parameters of BP network. The predicting model improved may dynamically optimize the structure parameters according to different conditions. The more satisfactory results of the on-line predicting are gained.

Key words: GA optimization, Rotary machinery Predicting model