基于人工神经网络的通用低速圆度仪  

General Low Speed Roundness Instrument Based on Artificial Neural Network

作　　者：张炜[1] 郝大庆[1] 李亮[2] 蒋峰[1] 魏闯[2] 

机构地区：[1]洛阳轴研科技股份有限公司,河南洛阳471039 [2]洛阳轴承研究所有限公司,河南洛阳471039

出　　处：《轴承》2014年第7期56-59,共4页Bearing

摘　　要：将人工神经网络应用于轴承零件加工过程中的检测、分析、判断和质量控制过程。根据企业的实际情况,在通用低速圆度仪检测设备中添加了基于人工神经网络的质量检测分析软件,可以快速给出分析结果并对异常模式进行原因判断,从而大大提高对产品质量特性检测的效率和判断能力。The artificial neural network is applied in detection,analysis,judgment and quality control processes during bearing parts processing. According to the actual situation of enterprises,a quality detection and analysis software based on artificial neural network is added to general low speed roundness instrument detect equipment. The results are given quickly,and the reasons for abnormal patterns are judged. The efficiency and ability of judgement of product quality characteristics detection are greatly improved.

关 键 词：滚动轴承 低速圆度仪 人工神经网络 质量控制 

分 类 号：TG834[金属学及工艺—公差测量技术] TP183[自动化与计算机技术—控制理论与控制工程]