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For rotating machines, the localized faults of key components generally represent as periodic transient impulses in vibrations. The existence of background noise will submerge the transient impulses in practice, and will thus increase the difficulty to identify specific faults. This paper proposes a novel fault demodulation method based on time-frequency manifold (TFM) to solve the aforementioned...
In this paper, a new method based on wavelet analysis for feature extraction of gearbox vibration signals is explored. The similarity of the power spectrums between gearbox vibration signals and 1/f processes signals makes natural the use of wavelet-based fractal analysis for gearbox fault diagnosis. Then the principle of this method was discussed. To verify the feasibility and practicability of this...
Effective and efficient representation of the time-domain sensor data is critical to reliable signal discrimination and defect severity classification. This paper presents a wavelet packet base-selection approach that explores the Local Discriminant Bases (LDB) method. An optimal set of time-frequency subspaces are selected from a library of redundant wavelet packet subspaces to produce discriminant...
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