Multicomponent AM-FM demodulation based on energy separation and adaptive filtering

作者：Qin Yi^*

来源：Mechanical Systems and Signal Processing, 2013, 38(2): 440-459.

DOI：10.1016/j.ymssp.2013.01.023

• Energy operator
• Adaptive filter design
• Boundary extension
• Envelope spectrum
• Weak fault feature

Multicomponent AM-FM demodulation is an important tool in many engineering applications. To improve the demodulation accuracy of the commonly used methods, such as iterative Hilbert transform (IHT) and Hilbert-Huang transform (HHT), a new multicomponent AM-FM demodulation method is proposed in this paper. The proposed method achieves multicomponent demodulation by using an iteratively energy separation algorithm and adaptive low-pass filtering. Using the frequency spectra of instantaneous amplitude and frequency obtained by the energy separation algorithm at each level, the used filters are adaptively designed. In addition, this proposed method uses symmetric extension to solve the boundary effect in the estimation of instantaneous amplitudes and frequencies. The demodulation process is automatic for an arbitrary signal. Simulation and application results show that the proposed method has high demodulation accuracy than IHT, HHT and other typical methods, and it can be effectively applied to extracting weak fault feature from mechanical vibration signals.

• 出版日期2013-7-20
• 单位重庆大学