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(BQ) In this paper, an easily implemented method is developed to describe the variations of EDM process, represented by gap states. On the basis of a time series of gap states from a machining process, the paper first studied a general descriptive model for EDM process, and then equivalently simplified the model for application; after spectralanalysis, preprocessing of data, parameters selection and model validation proposed a well-defined model. Finally, by using this model structure and size, an online time-varied predictive model was developed. Experimental verifications showed that this predictive model can quickly and accurately provide one step ahead predictions with mean error less than 2%. This model makes clear that variations of EDM process represented by gap states can be predicted online with a high precision.
Nội dung trích xuất từ tài liệu:
A time-varied predictive model for EDM process
