A new fault diagnosis method to hydraulic system for die casting machine based on FARX and RBFNN models was put forward.The ARX model after fuzzy processing not only retained its very sensitive response to fault state pattern
but also achieved more accurate description of non-linear features.Firstly
several FARX models were established for target system fault to extract their fault vectors.Secondly
the vectors were served as training source data and the RBF network classifier was established.Then
fault patterns could be identified according to the output of the classifier.A simulation verified the accuracy and availability of the method.
关键词
压铸机故障诊断模糊有源自回归模型(FARX)径向基函数神经网络(RBFNN)
Keywords
Die Casting MachineFault DiagnosisFuzzy Auto-regressive with Extra Input ModelsRadial Basis Function Neural Network