A new open architecture multi-processor intelligent CNC system design for milling machine is presented.

提出了一种新颖的开放式铣床智能数控系统的体系结构。

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Since parallel machine tool come out in the 1990s, the researchers have proposed diversiform parallel architectures and done a lot of useful work of multi-degree-of-freedom parallel architecture.

自90年代并联机床问世以来，研究者提出了多种并联机构的结构形式，并且在多自由度并联机构方面作了许多有益的工作。

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Finally, a method based on sub-band feature extraction and Support Vector Machine with Binary Tree Architecture (SVM-BTA) is presented for power quality disturbances multi-classification.

最后，提出了一种基于子频带特征提取和二叉树结构支持向量机相结合的电能质量多分类方法。

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