Power spectral density-guided variational mode decomposition for the compound fault diagnosis of rolling bearings

Cai Yi; Hao Wang; Le Ran; Lu Zhou; Jianhui Lin

doi:10.1016/j.measurement.2022.111494

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Power spectral density-guided variational mode decomposition for the compound fault diagnosis of rolling bearings

Cai Yi Hao Wang Le Ran Lu Zhou Jianhui Lin

Year: 2022 Journal: Measurement Vol: 199 Pages: 111494-111494 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2022.111494

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Keywords:

Aliasing Hilbert–Huang transform Spectral density Algorithm Fault (geology) Wavelet Frequency domain Robustness (evolution) Modal Computer science Pattern recognition (psychology) Artificial intelligence Engineering Electronic engineering Control theory (sociology) Computer vision

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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

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Power spectral density-guided variational mode decomposition for the compound fault diagnosis of rolling bearings

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