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New feature extraction for applied stress detection on ferromagnetic material using magnetic Barkhausen noise

Lookup NU author(s): Professor Gui Yun TianORCiD


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This paper reports on the new feature extraction for the determination of applied stress using magnetic Barkhausen noise (MBN). Low frequency triangular waveform excitation is used to produce alternative magnetic field on case-carburized and tempered En36 steel specimens. Under applied elastic stress, both of the compressive and tensile type, the MBN signal is measured and the profile of MBN signal is obtained. Effective damping in Barkhausen noise for asymmetric shape is studied with compressive and tensile applied stress characterization. Then the skewness of the MBN profile is presented as a new feature for stress detection. Non-linear behavior and sensitivity of the new feature are compared with root mean square (RMS) peak value and peak position. Domain wall energy and eddy current damping are discussed as the reason of the phenomenon.

Publication metadata

Author(s): Ding S, Tian GY, Moorthy V, Wang P

Publication type: Article

Publication status: Published

Journal: Measurement

Year: 2015

Volume: 73

Pages: 515-519

Print publication date: 01/09/2015

Online publication date: 07/06/2015

Acceptance date: 29/05/2015

ISSN (print): 0263-2241

ISSN (electronic): 1873-412X

Publisher: Elsevier


DOI: 10.1016/j.measurement.2015.05.031


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Funder referenceFunder name
FP7 "Health Monitoring of Offshore Wind Farms (HEMOW)" (FP7-PEOPLE-IRSES) project
CXLX11_0184Jiangsu Graduate Student Innovation Fund