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STUDY ON CHAOTIC PREDICTION OF VIBRATION SERIES FOR TURBOGENERATOR UNIT

机译:涡轮机组振动系列混沌预测研究

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摘要

A model for predicting vibration series of turbogenerator unit is proposed by combining ANNs techniques with non-linear phase space reconstruction. Such established model doesn't make any hypothesis to history data, but reproduces the dynamic specific of attractor by phase space reconstruction. ANNs architecture to which the prediction model applys is discussed. The influences of embedding dimension m and time delay τ on prediction accuracy are also discussed in detail. Fairly well agreement can be acquired between the predictions of model and actual vibration series of unit.
机译:通过将ANNS技术与非线性相位空间重构结合,提出了一种预测涡轮机组振动系列的模型。这种既定的模型对历史数据没有任何假设,而是通过相位空间重建再现吸引物的动态特定。讨论预测模型应用程序的ANNS架构。还详细讨论了嵌入尺寸M和时间延迟τ对预测精度的影响。可以在模型和实际振动系列单元的预测之间获得相当好的协议。

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