零件加工质量（尺寸和表面粗糙度）在线检测技术研究
Research on On-line Detecting Method and Key Technologies for Part Quality (Dimension and Surface Roughness)
文章研究零件加工质量在线检测的方法和关键技术。在分析在线检测工件尺寸和表面粗糙度检测方法及特点的基础上，建立检测工件尺寸的神经网络和检测表面粗糙度的模糊神经网络，并且建立了零件加工质量在线检测系统。实验表明该方法能够正确地实时检测工件的尺寸变化和工件表面粗糙度。
To research on on-line detecting method and key technologies for part quality, based on the analysis of methods and features of on-line detecting of part dimension and surface roughness, an artificial neural network system for on-line detecting of part dimension and a fuzzy neural network system for on-line detecting of part surface roughness are developed. The Scheme of on-line detecting method for part quality can detect part dimension and surface roughness correctly.
在线检测 / 神经网络 / 模糊神经网络 / 尺寸精度 / 表面粗糙度
on-line detecting / neural network / fuzzy neural network / dimension precision / surface roughness
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