Journal
SIGNAL PROCESSING
Volume 98, Issue -, Pages 74-87Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2013.11.012
Keywords
Weak signal detection; Hilbert-Huang transform; Wavelet analysis; Incipient fault; ECG signal
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Funding
- National Natural Science Foundation of China [70971030, 71271068]
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In the present study, a weak signal detection methodology based on the improved Hilbert-Huang transform (HHT) was proposed. Aiming to restrain the end effects of empirical mode decomposition (EMD), wavelet analysis was embedded in iteration procedures of HHT to remove iterative errors as well as noise signal in the sifting process. Meanwhile, a new stopping criterion based on correlation analysis was proposed to remove undesirable intrinsic mode functions (IMFs). Results of analyzing synthetic signal, incipient rotor imbalance fault of Bently test-rig and weak electrocardiogram (ECG) signal show that the improved HHT combined with wavelet analysis have excellent weak signal detecting performance whilst achieving robustness against low signal-to-noise ratio (SNR). Furthermore, comparative studies of the proposed method, the classical EMD method, and other four generally acknowledged improved EMD methods, as well as a widely used stopping criterion demonstrate that the proposed method significantly reduces end effects and removes undesirable IMFs. (C) 2013 Elsevier B.V. All rights reserved.
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