Magnetic flux leakage signals of near side defects measured with different velocities - Open Research Data - Bridge of Knowledge

Search

Magnetic flux leakage signals of near side defects measured with different velocities

Description

The dataset contains raw signals measured with the use of the magnetic flux leakage (MFL) technique. Linear Hall effect sensors A1324 were used to measure magnetic flux leakage. Three voltage signals were measured: Bx sensor output, Bz1 sensor output, and difference of Bz1 and Bz2 outputs. An output of a Bx sensor was directly proportional to the tangential (horizontal) component of the MFL while an output of a Bz1 sensor was directly proportional to the normal (vertical) component of the MFL. A differential signal (Bz1Bz2), that was proportional to the slope of Bz distribution measured along the x direction, is hereafter referred to as the gradient. The measurement module comprised of ten channels for each aforementioned signal component. Each channel is responsible for scanning adjacent measurement lines parallel to x axis. Therefore, the measurement module in general enables to obtain a 2D distribution of the MFL.

The object under investigation was a plate made of 18G2A (S355) steel grade. Four artificial defects were milled on one of plate surfaces. The defects had the form of slots of different depths (2, 4, 6, and 8 mm). The thickness of the plate was equal to 10 mm. Six scans of the defected surface were performed. Therefore, the defects are referred to as located on the near side.

Files numbered  from 1 to 6 were obtained with different velocities. Each file consists of 31 columns. First ten columns represent 10 channels of Bx component. Similarly, columns from 11 to 20 contain Bz1 voltage signals. Next 10 columns (21-30) contain information about the gradient. Finally, the last column represents the digital output of an encoder, what can be used to calculate displacement as well as velocity of the MFL module. One step of the encoder equals to 0.115 mm. The sampling frequency for all measurements was equal to 30 kHz.

Additional information can be found in https://doi.org/10.1007/s10921-019-0567-8

Dataset file

MFL_near_side_defects.zip
39.8 MB, S3 ETag bbbf4a33b2cf8a392e361299c39f3db7-1, downloads: 97
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file MFL_near_side_defects.zip

File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2021
Verification date:
2021-05-19
Creation date:
2015
Dataset language:
English
Fields of science:
  • Automation, electronic and electrical engineering (Engineering and Technology)
  • materials engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/5qkk-6481 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

seen 253 times