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- Title
Improved Synchronous Sampling and Its Application in High-Speed Railway Bearing Damage Detection.
- Authors
Wang, Kun; Huang, Yukun; Zhang, Baoqiang; Luo, Huageng; Yu, Xiang; Chen, Dawei; Zhang, Zhiqiang
- Abstract
Synchronous analysis is one of the most effective and practical techniques in rotating machinery diagnostics, especially in cases with variable speed operations. A modern analog-to-digital convertor (ADC) usually digitizes an analog signal to an equal time interval data series. Synchronous resampling converts the data series from an equal time interval data series to an equal shaft rotation angle interval data series. This conversion is usually achieved in the digital domain with the aid of shaft speed information, through either direct measurement or identification from a measured vibration signal, which is a time-consuming process. In order to improve the computational efficiency as well as the data processing accuracy, in this paper, a fast synchronous time-point calculation method based on an inverse function interpolation procedure is proposed. By identifying the inverse function of the instantaneous phase with respect to time, the calculation process of synchronous time points is optimized, which results in improved calculation efficiency and accuracy. These advantages are demonstrated by numerical simulations as well as experimental verifications. The numerical simulation results show that the proposed method can improve calculation speed by about five times. The synchronous analysis based on the proposed method was applied to a bearing fault detection in a high-speed rail carriage, which demonstrated the advantages of the proposed algorithm in improving the signal-to-noise ratio (SNR) for bearing damage feature extraction.
- Subjects
INTERPOLATION algorithms; INVERSE functions; FEATURE extraction; HIGH speed trains; SIGNAL-to-noise ratio; ROTATING machinery; DRIVE shafts; ELECTRONIC data processing
- Publication
Machines, 2024, Vol 12, Issue 2, p101
- ISSN
2075-1702
- Publication type
Article
- DOI
10.3390/machines12020101