期刊
IEEE ACCESS
卷 9, 期 -, 页码 113089-113099出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3104281
关键词
Fault diagnosis; Vibrations; Frequency synthesizers; Frequency modulation; Fourier transforms; Gears; Fault detection; Demodulation; fault detection; Fourier transforms; gears; modulation; pursuit algorithms; sparse matrices; spectral analysis; vibrations; windows
资金
- Central University Basic Research Fund [2020CDJGFCD002]
- Chongqing Special Subsidies for Postdoctoral Research Projects [XmT2020125]
This paper proposes a novel method for achieving fault frequency detection more effectively in early-stage gear faults. The method uses sparse decomposition and orthogonal matching pursuit to refine modulation components and multiscale-sparse frequency-frequency distribution to augment existing fault-related harmonic components. Experimental results have verified the effectiveness and superiority of the proposed method for gear fault detection compared to other analysis methods.
Gear fault related information is distributed over a broad frequency band, indicating a complex modulation mechanism. It is difficult to detect early-stage gear faults accurately by detecting fault frequencies in a limited frequency band. This paper proposes a novel method for achieving fault frequency detection more effectively. A short-frequency Fourier transform with a series of frequency-window functions is initially used to obtain the overall frequency information of a vibration signal. Subsequently, based on sparse decomposition and orthogonal matching pursuit, harmonic atoms are applied to refine modulation components from multiscale pseudo mono-components. A multiscale-sparse frequency-frequency distribution is eventually applied to augment existing fault-related harmonic components. In addition, a synthesized sparse spectrum is acquired by determining the frequency-frequency ridge from the multiscale sparse frequency-frequency distribution. Compared with empirical-mode-decomposition and fast-kurtogram analyses, the effectiveness and superiority of the proposed method for gear fault detection have been verified via experiments.
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