Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies

Han Zhou; Ping Yan; Yanfei Yuan; Dayuan Wu; Qin Huang

doi:10.1016/j.isatra.2022.05.017

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Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies

Han Zhou Ping Yan Yanfei Yuan Dayuan Wu Qin Huang

Year: 2022 Journal: ISA Transactions Vol: 131 Pages: 715-735 Publisher: Elsevier BV

DOI: 10.1016/j.isatra.2022.05.017

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Keywords:

Hilbert–Huang transform Noise (video) Noise reduction Autocorrelation Gaussian noise Value noise Gradient noise Kurtosis Quantization (signal processing) Cyclostationary process Wavelet Pattern recognition (psychology) Computer science Speech recognition Mathematics Noise measurement Algorithm Artificial intelligence Noise floor Statistics White noise

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies

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