Magnetic flux leakage data lossless compression based on Context Tree Weighting

Author

Cheng, Wei ; Chen, Liang ; Wang, Ke ; Liang, Wei

Author_Institution

Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

16-18 April 2011

Firstpage

1376

Lastpage

1379

Abstract

The magnetic flux leakage (MFL) technique is a viable approach to the non-destructive evaluation of pipelines. But the MFL data is large. In order to save the storage space of the MFL data and regain the MFL data without distortion in the later analysis, the data must be compressed in a lossless compression way. In this paper, the application of Context Tree Weighting (CTW) in MFL data compression was introduced. CTW is a lossless compression which has a very high compression ratio, especially for the txt file. Through the comparison with the Lempel Ziv Welch (LZW), finding that CTW has a more higher compression efficiency.

Keywords

data compression; magnetic flux; magnetic leakage; nondestructive testing; pipelines; trees (mathematics); MFL data compression; context tree weighting; data lossless compression; magnetic flux leakage technique; nondestructive evaluation; pipelines; Algorithm design and analysis; Context; Data compression; Magnetic flux leakage; Permanent magnets; Pipelines; Signal processing algorithms; CTW algorithm; lossless compression; magnetic flux leakage;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5769096

Filename

5769096