TY  - JOUR
T1  - Fault Diagnosis Based on Enhancement of Barkhausen Noise Using Hybrid Method Emprical Mode Decomposition-Savitzky-Golay Filter
AU  - Abdelkader, Rabah
AU  - Khorchef, Mohammed
AU  - Zergoug, Mourad
PY  - 2020
DA  - June
JF  - Acta Materialia Turcica
JO  - ACTAMAT
PB  - Gebze Teknik University
WT  - DergiPark
SN  - 2630-5909
SP  - 33
EP  - 38
VL  - 4
IS  - 2
LA  - en
AB  - The barkhausen noisecarries important information which can be used in early damage detection andfault diagnosis. The barkhausen noise is corrupted by interference signals fromother sources during the measure and the information of fault can be lost. Inthis paper a new algorithm based on Empirical Mode Decomposition (EMD) andSavitzky-Golay filter is proposed to extract the information about the fault ofmaterials from a measured barkhausen noise. Firstly, using EMD to decompose thebarkhausen noise signal into elementary function called Intrinsic Mode Function(IMF). Secondly, we use the energy to select the relevant mode, these selectedIMF is filtered by Savitzky-Golay filter and the reconstructed signal isobtained by the IMFs filtered. The envelope spectra are used to test theefficiency of the proposed method in enhancement the quality of barkhausennoise signal. The proposed method is validated using the measuring chain ofbarkhausen noise (Fig (3-8)) and the obtained results show the effectiveness ofthe proposed method in fault detection.
KW  - Barkhausen noise
KW  - EMD
KW  - energy
KW  - envlope spectra
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UR  - https://dergipark.org.tr/en/pub/actamat/issue//643657
L1  - https://dergipark.org.tr/en/download/article-file/1170947
ER  -