摘要
采用ARM为核心的微处理器以统计过程控制理论为基础,设计一种轴承加工过程中的实时质量检测系统。通过对轴承振动值的大小检验轴承质量。介绍了硬件系统的结构,通过数据采集模块、显示模块等实现数据的采集、显示等功能。采用WinCE操作系统,解决硬件驱动程序和应用程序等关键技术问题。
By adopting ARM as the core of the microprocessor, and based on the statistical process control theory, the real-time quality detection system for bearing in machining process was designed. The bearing quality was tested through the size of values of bearing vibration. The hardware system structure was introduced, and by a data collecting module and a display module to realize data acquisition, display and other functions. By using the WinCE operating system, hardware drivers, applications and other key technical problems are solved.
出处
《机床与液压》
北大核心
2013年第7期125-127,共3页
Machine Tool & Hydraulics
