| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 774856 | International Journal of Fatigue | 2016 | 8 Pages |
•Fractal signal processing is used to analyze Barkhausen noise.•The method is based on wavelet analysis.•The results show that the method can detect crack initiation in metallic structures.
The paper presents new approach to Barkhausen noise signal processing for detection of fatigue crack. Barkhausen noise signal from mild steel samples under axial fatigue is investigated using fractal signal processing, particularly wavelet variance method. Based on repeatability analysis new algorithm is developed and applied to acquired signals. The influence of fatigue on fractal characteristics of Barkhausen noise is analyzed. Signal analysis reveals significant and repeatable changes in wavelet variance, spectral parameter and estimated Hurst exponent just after crack initiation. The results demonstrate high potential of fractal analysis of Surface Barkhausen noise applied to fatigue crack initiation detection.
