Study on Elimination of Lift-off Effect in Barkhausen Noise Detection

DOI

10.2991/ism3e-15.2015.146How to use a DOI?

Abstract

The lift-off effect of the sensor has an influence on MBN signal during the process of Barkhausen noise detection.Therefore the way to eliminate the lift-off effect has become the emphasis of the study on the accuracy of the result of Barkhausen noise detection. The study improves the design of the sensor structure, and utilizes the spring structure to effectively eliminate the lift-off of the pick-up coil; it utilizes the induction coil to detect the lift-off information of the magnetizer, and adopts BP neural network to optimize the detected characteristic value of MBN. At last, it verifies that the new structure of the sensor and the optimization algorithm of BP neural network are available to the effective reduction of the detection error caused by the lift-off of the sensor.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kai Huang
AU  - Ping Wang
AU  - Jianqin Xu
AU  - Jie Wu
AU  - Yihui Zhang
AU  - Faxian Wang
PY  - 2015/11
DA  - 2015/11
TI  - Study on Elimination of Lift-off Effect in Barkhausen Noise Detection
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 603
EP  - 608
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.146
DO  - 10.2991/ism3e-15.2015.146
ID  - Huang2015/11
ER  -