- 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: | JIANG Qilong, YAO Weifeng, ZHANG Ye. Fault Diagnosis of Suspended Electromagnet Based on Current Change Rate Increment[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 1042-1049. doi: 10.3969/j.issn.0258-2724.20250067
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To improve the accuracy of fault diagnosis for suspended electromagnet coils under complex operating conditions, a fault diagnosis method for electromagnet coils based on the increment of current change rate within a cycle was proposed based on the changes in current characteristics before and after the failure, taking into account the effects of temperature, load variation, and air gap disturbances. By establishing a mathematical model for the increment of the electromagnet coil’s output current change rate under two-level control, the current variation characteristics were analyzed. It was clarified that an interturn short circuit in the electromagnet coil was the fundamental cause of abnormal current change rate increment, making it feasible to use the variation in current change rate increment as a criterion for fault detection. Moreover, to address the issue of false diagnoses triggered by changes in the air gap that affected the current change rate increment, the least squares method was used to derive the relationship between the actual air gap and the current change rate increment under normal conditions. A lookup table was then established to dynamically adjust the threshold of the current change rate increment in real time based on air gap variations. Simulation and experimental results verify that the proposed algorithm is suitable for various operating conditions of maglev trains, demonstrating strong robustness. When the coil’s short circuit ratio is less than 5%, the fault diagnosis accuracy reaches as high as 97%, with high sensitivity. Moreover, the algorithm is capable of completing fault diagnosis within a single fundamental cycle, ensuring rapid detection.
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JIANG Qilong, YAO Weifeng, ZHANG Ye. Fault Diagnosis of Suspended Electromagnet Based on Current Change Rate Increment[J]. Journal of Southwest Jiaotong University, 2025, 60(4): 1042-1049. doi: 10.3969/j.issn.0258-2724.20250067
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