The application of wavelet shrinkage denoising to magnetic Barkhausen noise measurements

The application of Magnetic Barkhausen Noise (MBN) as a non-destructive method of defect detection has proliferated throughout the manufacturing community. Instrument technology and measurement methodology have matured commensurately as applications have moved from the R&D labs to the fully auto...

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Bibliographic Details
Published inAIP conference proceedings Vol. 1581; no. 1
Main Author Thomas, James
Format Conference Proceeding Journal Article
LanguageEnglish
Published Melville American Institute of Physics 18.02.2014
Subjects
Automation
Barkhausen effect
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
DETECTION
Electromagnetic interference
Industrial applications
MANUFACTURING
NOISE
Noise reduction
Nondestructive testing
R&D
Research & development
SENSORS
SHRINKAGE
SIGNAL-TO-NOISE RATIO
STOCHASTIC PROCESSES
Wavelet analysis
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Summary:The application of Magnetic Barkhausen Noise (MBN) as a non-destructive method of defect detection has proliferated throughout the manufacturing community. Instrument technology and measurement methodology have matured commensurately as applications have moved from the R&D labs to the fully automated manufacturing environment. These new applications present a new set of challenges including a bevy of error sources. A significant obstacle in many industrial applications is a decrease in signal to noise ratio due to (i) environmental EMI and (II) compromises in sensor design for the purposes of automation. The stochastic nature of MBN presents a challenge to any method of noise reduction. An application of wavelet shrinkage denoising is proposed as a method of decreasing extraneous noise in MBN measurements. The method is tested and yields marked improvement on measurements subject to EMI, grounding noise, and even measurements in ideal conditions.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4864969