- ISSN 0258-2724
- CN 51-1277/U
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| Citation: | ZHOU Ran, LU Sijia, SONG Yuanyuan, WU Liping, SHAN Guangkun, SUN Feng, ZHANG Zhiqiang, QU Jianzhen. Fault Monitoring of Electromagnetic Vibration Damping System Based on Magnetic Flux Density Signals[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 1060-1070. doi: 10.3969/j.issn.0258-2724.20240580
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Most existing fault diagnosis studies for electromagnetic vibration damping systems rely on mechanical signals such as displacement or acceleration signals, while relatively few studies focus on the changes in internal magnetic field signals. Magnetic field signals detected by the Hall sensor were used as the basis. By considering the effects of various faults during the service process of a linear motor-type electromagnetic vibration damping system on the air gap magnetic flux density signals, a finite element model of the electromagnetic vibration damping system was established, and fault monitoring was analyzed. First, a magnetic circuit analysis of the linear motor-type electromagnetic vibration damping system was carried out; an equivalent magnetic circuit model was established, and the conditions under which various faults affected the air gap magnetic flux density signals were analyzed. Then, a simulation model of the electromagnetic vibration damping system was established using the Maxwell electromagnetic simulation platform to study the variation patterns of magnetic flux density signal parameters in the air gap under different fault conditions. Finally, fault characteristic information in the time and frequency domains was obtained under various fault conditions. Ensemble empirical mode decomposition (EEMD) was applied to the frequency-domain feature information, and the time-frequency domain characteristics were compared to achieve fault monitoring. The results show that the time-domain kurtosis value is 1.6 under normal conditions, while the values are 2.5 and 6.5 under demagnetization and eccentricity fault conditions, respectively. The frequency-domain evaluation indicators exhibit different degrees of variation compared with those under normal conditions, and the effectiveness of the fault monitoring method is verified through experiments.
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Figures(21) / Tables(4)
ZHOU Ran, LU Sijia, SONG Yuanyuan, WU Liping, SHAN Guangkun, SUN Feng, ZHANG Zhiqiang, QU Jianzhen. Fault Monitoring of Electromagnetic Vibration Damping System Based on Magnetic Flux Density Signals[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 1060-1070. doi: 10.3969/j.issn.0258-2724.20240580
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