The relative entropy of wavelet energy of Metal Magnetic Memory signal used in feature analysis of crack propagation in ferromagnetic materials
- Resource Type
- Conference
- Authors
- Nan, Xue; Zhigang, Chang; Aiwei, Jin; Yanfan, Man; Yang, Nie; Ming, Teng
- Source
- 2017 Prognostics and System Health Management Conference (PHM-Harbin) Prognostics and System Health Management Conference (PHM-Harbin), 2017. :1-4 Jul, 2017
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Entropy
Wavelet transforms
Fatigue
Wavelet analysis
Magnetic materials
Information entropy
Magnetic memory
Ferromagnetic materials
Crack propagation
Metal Magnetic Memory
Relative entropy of wavelet energy
- Language
- ISSN
- 2166-5656
According to characteristics of Metal Magnetic Memory in crack propagation of ferromagnetic materials, relative entropy of wavelet energy of MMM signals is proposed to characterize fatigue crack propagation based on the characteristics of time-frequency localization of wavelet transform and information entropy reflecting the uncertainties of source information. The relative entropy of wavelet energy is analyzed by the crack propagation test. The results show that relative entropy of wavelet energy is a sensitive indicator of crack propagation. The change region of the relative entropy of wavelet energy can reflect the length of crack propagation. Fracture analysis shows that the crack depth is linearly related to the relative entropy of wavelet energy.