西南交通大学学报2025，Vol.60Issue(4)：1060-1070,11.DOI:10.3969/j.issn.0258-2724.20240580
基于磁密信号的电磁减振系统故障监测
Fault Monitoring of Electromagnetic Vibration Damping System Based on Magnetic Flux Density Signals
摘要
Abstract
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.关键词
电磁减振系统/气隙磁密/峭度/经验模态分解/故障监测Key words
electromagnetic vibration damping system/air gap magnetic flux density/kurtosis/empirical mode decomposition/fault monitoring分类
机械制造引用本文复制引用
周冉,路思佳,宋园园,吴利平,单光坤,孙凤,张志强,曲建真..基于磁密信号的电磁减振系统故障监测[J].西南交通大学学报,2025,60(4):1060-1070,11.基金项目
国家重点研发计划(2024YFB3410002) （2024YFB3410002）
辽宁省自然科学基金项目(2023-BSBA-263) （2023-BSBA-263）
辽宁省教育厅高等学校基本科研项目(LJ212410142015,JYTMS20231191) （LJ212410142015,JYTMS20231191）
重庆市自然科学基金项目(CSTB2024NSCQ-MSX0371) （CSTB2024NSCQ-MSX0371）
辽宁省"揭榜挂帅"科技重点专项(2022JH1/10800081) （2022JH1/10800081）
重庆市教委科学技术研究项目(KJZD-K202303401)中车青岛四方机车车辆股份有限公司高速磁浮运载技术全国重点实验室开放基金项目(SKLM-SFCF-2024-007)资助. （KJZD-K202303401）
