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Research on CNC Integrated Manufacturing Condition Analysis Model and Its Application Based on Visual Multi-Feature Fusion

机译:基于视觉多特征融合的CNC集成制造条件分析模型及其应用研究

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摘要

A visual diagnosis method for flexible CNC manufacturing condition monitoring is proposed based on multi-feature space mapping. First, the generalized sensor space and the observable feature vector are analyzed and extracted. Second, based on image processing technologies, the method for establishing clustering fusion model of complex condition is developed. At last, the visual multi-feature clustering fusion model is established. The model works quickly and accurately.
机译:基于多特征空间映射,提出了一种用于灵活CNC制造条件监测的可视诊断方法。首先,分析和提取广义传感器空间和可观察特征向量。其次,基于图像处理技术,开发了建立复杂条件集群融合模型的方法。最后,建立了可视多特征聚类融合模型。该模型快速准确地工作。

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