Real-time Data Mining in Magnetic Flux Leakage Detecting in Boiler Pipeline

摘要：

For boiler in magnetic flux leakage testing data characteristics on the basis of full analysis, Combining the application of industrial control integrated automation needs, proposed the pipeline magnetic flux leakage testing data mining system framework. Through analysis of magnetic flux leakage pipeline inspection data and mines the key data. It could be better to achieve detection and prediction of the pipe flaw.

关键词： Magnetic flux leakage Real-time Time series Data mining

作者: KeMinYi LiaoPan Song XiaoChun

作者单位: Hubei University of Technology School of Computer Science and Technology Wuhan, China Hubei University of Technology School of Mechanical Engineering Wuhan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 130-133

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）