- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LUO Yi, YUAN Yuhang, DENG Bin, DENG Zigang. Measurement Method for Permanent Magnet Guideway Irregularity Based on Self-Adaptive Noise Cancellation[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 904-911. doi: 10.3969/j.issn.0258-2724.20240563
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When the dynamic detection of permanent magnet guideway (PMG) irregularity is conduced, eliminating the vibration components generated by the vibration of the measured carrier in the measured signal is conducive to grasping a more accurate real-time state of the guideway. The self-adaptive noise cancellation (SANC) method was applied to the detection of PMG irregularities, effectively separating the periodic and non-periodic components of a single signal and reducing the interference of vibration components with periodic characteristics when conducting irregularity measurement. Experimental research was carried out on the high-temperature superconducting high-speed maglev engineering prototype and test line. A single Dewar was used as the measurement carrier, and the Hall sensor was employed to measure the magnetic induction intensity on the PMG surface. The SANC method was adopted to separate the measured signal. The periodic components obtained after separation could be defined as vibration components, while the random components represented the actual PMG irregularity. The comparative analysis and research on the signals before and after separation in the time domain and frequency domain show that the random components in the time-domain signal fluctuate less after separation, and the vibration components corresponding to the measurement carrier in the frequency-domain signal have been separated into the periodic components, which proves the effectiveness of the method proposed in this paper.
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