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	A time-varied predictive model for EDM process
	Zhou, Ming ; Han, Fuzhu ; Soichiro, Isago
	2010-05-10 ; 2010-05-10
关键词	Predictive model Electrical discharge machining Discrimination of discharging pulses System identification MATERIAL REMOVAL RATE SURFACE FINISH Engineering, Manufacturing Engineering, Mechanical
中文摘要	The classification techniques of discharging pulses in EDM have been proved critical in improving productivity, precision and lowering the cost of products, etc. 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 spectral analysis, 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. (C) 2008 Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	ELSEVIER SCI LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/25335]
专题	清华大学
推荐引用方式 GB/T 7714	Zhou, Ming,Han, Fuzhu,Soichiro, Isago. A time-varied predictive model for EDM process[J],2010, 2010.
APA	Zhou, Ming,Han, Fuzhu,&Soichiro, Isago.(2010).A time-varied predictive model for EDM process..
MLA	Zhou, Ming,et al."A time-varied predictive model for EDM process".(2010).

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