[6A4] Impulsive mode decomposition and its four application cases to impulsive signal extraction
B Hou and D Wang
Shanghai Jiao Tong University, China
Impulsive signal components widely exist in nature and the extraction of impulsive signal components has attracted great attention from various fields such as machine fault diagnosis, non-destructive testing, electrocardiogram (ECG) denoising, etc. Although signal decomposition methods, including empirical mode decomposition, variational mode decomposition, wavelet packet transform and singular value decomposition, have been applied to extract impulsive signal components, they still suffer from problems such as failure extraction of weak impulsive signal components and mode mixing, and they also have difficulty in adaptively determine the number of impulsive signal components. The authors recently proposed an impulsive mode decomposition (IMD), which is a new and promising method tailored for impulsive signal analysis. Therefore, this work reported four application cases of the IMD, including gearbox fault diagnosis, bearing fault diagnosis, non-destructive signal denoising and ECG signal denoising. These cases show the wide application perspective of the IMD.
Keywords: signal processing, impulsive mode decomposition, impulsive signal analysis, machine fault diagnosis, non-destructive testing, ECG denoising.
Keywords: signal processing, impulsive mode decomposition, impulsive signal analysis, machine fault diagnosis, non-destructive testing, ECG denoising.
