轴承钢球质量在线检测与分选系统的研究  

Research on Quality Inspection and Sorting On-Line System for Bearing Steel Ball

作　　者：艾长胜[1] 于润祥[1] 孙选[1] 张辉[1] 沈文众[1] 

机构地区：[1]济南大学机械工程学院,山东济南250022

出　　处：《测控技术》2009年第10期4-7,共4页Measurement & Control Technology

摘　　要：为在线检测钢球表面裂纹,麻点等质量缺陷,并进行分选,采用涡流探伤的原理开发了一种轴承钢球质量在线检测与分选系统。详细介绍了系统的方案、电路和机械结构设计。利用相敏检波(PSD)技术拾取裂纹信号,并用X-Y正交化分解技术对缺陷进行定量分析。根据数理统计分析的原理找出缺陷的识别规律,以此确定正确的分类算法,并用ARM处理器保证分类算法的实时性。实验证明,该系统能够准确地对钢球的表面缺陷进行实时的检测与分选。To detect the flaws of bearing steel ball and sort its quality on-line, a kind of online quality detecting and sorting system for bearing steel ball is developed, which based on the eddy current inspection theory. The design of scheme, circuit and mechanical structure of the system is described in detail. PSD（ phase sensitive detection） is applied to pick up the signal of cracks and restrain interferential signal. The flaws will be quantificational analyzed based on the X-Y orthogonal decomposition technology. To determine the correct classification algorithm, the mathematical statistics is used for the rule of recognition for steel ball. ARM processor ensures the real-time ability of discriminating algorithm. Experimental results show that the system can detect and sort the flows of bearing steel ball in real-time accurately.

关 键 词：涡流 钢球 相敏检波 数理统计 

分 类 号：TH133[机械工程—机械制造及自动化]