A Wavelet and Neural Networks Based on Fault Diagnosis for HAGC System of Strip Rolling Mill
作者： Guo-you Li , Min Dong
DOI: 10.1016/S1006-706X(11)60007-1
关键词:
摘要: The fault diagnosis of HAGC (Hydraulic Gauge Control) system strip rolling mill is researched. Taking the advantage accompanying characteristics closed-loop control system, force forecasting model built based on neural networks. comparison results prediction and actual signal are taken as residual signals. Wavelet transform used to obtain components high low frequency signal. decomposition make feature clear time-domain positioning accurately. Fault numerical criterion established through Lipschitz exponent. By analyzing varied features which correspond reasons, implemented successfully.
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