Paper Infomation
An Intelligent Decision Support System for Gear Hobbing Process Parameters
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Author: Weidong Cao, Chunping Yan
Abstract: In this paper, an intelligent decision support system(IDSS) for hobbing process parameters was proposed. The interface of the system was analyzed. Conceptul model of proposed system was designed. Reasoning and learning process of intelligent decision engine for hobbing process parameters was studied. Graph theory was used to construct process case network (PCN). Matter-element model, data dictionary and proposed PCN were connected to conduct similar case retrieval. Lastly, an example is provided to exam the algorithm, and system development are conducted.
Keywords: Hobbing Process Parameters; Graph Theory; Case-based Reasoning; Intelligent Decision Engine; Process Case Network
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