DocumentCode
2339715
Title
Real-Time Data Mining in Magnetic Flux Leakage Detecting in Boiler Pipeline
Author
Ke MinYi ; Liao Pan ; Song XiaoChun
Author_Institution
Sch. of Comput. Sci. & Technol., Hubei Univ. of Technol., Wuhan, China
Volume
2
fYear
2010
fDate
18-20 Dec. 2010
Firstpage
130
Lastpage
133
Abstract
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.
Keywords
boilers; condition monitoring; data mining; magnetic flux; mechanical engineering computing; mechanical testing; pipelines; boiler pipeline; magnetic flux leakage detection; magnetic flux leakage test; pipe flaw detection; pipe flaw prediction; pipeline inspection; realtime data mining; Data mining; Magnetic flux leakage; Real-time; Time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location
ChangSha
Print_ISBN
978-0-7695-4286-7
Type
conf
DOI
10.1109/ICDMA.2010.243
Filename
5701366
Link To Document