Research on Fault Diagnosis Method of Axle-box Bearing of High-speed Train under Wheel-rail excitation
LIU Wenpeng1, YANG Shaopu1, LIU Yongqiang2, GU Xiaohui1, WANG Jiujian1
1. State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043; 2. School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043
LIU Wenpeng, YANG Shaopu, LIU Yongqiang, GU Xiaohui, WANG Jiujian. Research on Fault Diagnosis Method of Axle-box Bearing of High-speed Train under Wheel-rail excitation[J]. Journal of Mechanical Engineering, 2025, 61(6): 249-259.
[1] 沈长青,王旭,王冬,等. 基于多尺度卷积类内迁移学习的列车轴承故障诊断[J]. 交通运输工程学报,2020,20(5):1-14. SHEN Changqing,WANG Xu,WANG Dong,et al. Multi-scale convolution intra-class transfer learning for train bearing fault diagnosis[J]. Journal of Traffic and Transportation Engineering,2020,20(5):1-14. [2] 顾晓辉,杨绍普,刘文朋,等. 高速列车轴箱轴承健康监测与故障诊断研究综述[J]. 力学学报,2022,54(7):1780-1796. GU Xiaohui,YANG Shaopu,LIU Wenpeng,et al. Review on of health monitoring and fault diagnosis of axle box bearings in high-speed trains[J]. Chinese Journal of Mechanics,2022,54(7): 1780-1796. [3] 任尊松,刘志明. 高速动车组振动传递及频率分布规律[J]. 机械工程学报,2013,49(16):1-7. REN Zunsong,LIU Zhiming. Vibration and frequency domain characteristics of high speed EMU[J]. Journal of Mechanical Engineering,2013,49(16):1-7. [4] 查浩,任尊松,徐宁. 高速动车组轴箱轴承振动特性[J].机械工程学报,2018,54(16):144-151. ZHA Hao,REN Zunsong,XU Ning. Vibration performance of high-speed vehicles with axle box bearing[J]. Journal of Mechanical Engineering,2018,54(16):144-151. [5] LIU Z,YANG S,LIU Y,et al. Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis[J]. Mechanical Systems and Signal Processing,2021,154(107277):107511. [6] 顾晓辉,杨绍普,刘永强,等. 基于多目标交叉熵优化的轮对轴承故障特征提取方法[J]. 机械工程学报,2018,54(4):285-292. GU Xiaohui,YANG Shaopu,LIU Yongqiang,et al. Fault feature extraction of wheel-bearing based on multi- objective cross entropy optimization[J]. Journal of Mechanical Engineering,2018,54(4):285-292. [7] 易彩,林建辉,汪浩,等. VMD引导的轮对与轴承复合故障诊断方法[J]. 西南交通大学学报,2024,59(1):151-159. YI Cai,LIN Jianhui,WANG Hao,et al. VMD guided compound fault diagnosis method for wheelset and bearings[J]. Journal of Southwest Jiaotong University,2024,59(1):151-159.. [8] 邓飞跃,刘鹏飞,陈恩利,等. 基于自适应频率窗经验小波变换的列车轮对轴承多故障诊断[J]. 铁道学报,2019,41(5):55-63. DENG Feiyue,LIU Pengfei,CHEN Enli,et al. Multiple fault diagnosis of train wheelset bearing based on adaptive frequency window empirical wavelet transform[J]. Journal of Railway,2019,41(5):55-63. [9] BELLAJ S,POUZET A,MELLET C,et al. Vibro-acoustic measurement for bearing fault detection on high speed trains[C/CD]//The 9th World Congress on Railway Research. Lille:WCRR,2011. [10] XU G,HOU D,QI H,et al. High-speed train wheel set bearing fault diagnosis and prognostics:A new prognostic model based on extendable useful life[J]. Mechanical Systems and Signal Processing,2021,146:107050. [11] LIU W,YANG S,LI Q,et al. The Mkurtogram: A novel method to select the optimal frequency band in the AC domain for railway wheelset bearings fault diagnosis[J]. Applied Sciences,2020,11(1):1-9. [12] 何彬彬,冯磊,冯玉林,等. 不同轨道不平顺谱激励下高铁列车走行性分析[J]. 铁道工程学报,2022,39(7):36-43. HE Binbin,FENG Lei,FENG Yulin,et al. Performance analysis of high-speed railway trains under different track irregularity spectrum excitation[J]. Journal of Railway Engineering,2022,39(7):36-43. [13] 代士超,郭瑜,伍星. 基于同步平均与倒频谱编辑的齿轮箱滚动轴承故障特征量提取[J]. 振动与冲击,2015,34(21):205-209. DAI Shichao,GUO Yu,WU Xing. Gear-box rolling bearings’ fault features extraction based on cepstrum editing and time domain synchronous average[J]. Journal of Vibration and Shock,2015,34(21):205-209. [14] 张西宁,周融通,郭清林,等. 局部倒频谱编辑方法及其在齿轮箱微弱轴承故障特征提取中的应用[J]. 西安交通大学学报,2019,53(12):1-9. ZHANG Xining,ZHOU Rongtong,GUO Qinglin,et al. Local cepstral editing procedure with applications to slight gearbox bearing fault feature extraction[J]. Journal of Xi’an Jiaotong University,2019,53(12):1-9. [15] BORGHESANI P,PENNACCHI P,RANDALL R B,et al. Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions[J]. Mechanical Systems and Signal Processing,2013,36(2):370-384. [16] MOSHREFADEH A,FASANA A,ANTONI J. The spectral amplitude modulation:A nonlinear filtering process for diagnosis of rolling element bearings[J]. Mechanical Systems and Signal Processing,2019,132:253-276. [17] ANTONI J. The spectral kurtosis:A useful tool for characterising non-stationary signals[J]. Mechanical Systems and Signal Processing,2006,20(2):282-307. [18] ANTONI J. Fast computation of the kurtogram for the detection of transient faults[J]. Mechanical Systems and Signal Processing,2006,21:108-124. [19] BARSZCZ T,JABŁOŃSKI A. A novel method for the optimal band selection for vibration signal demodulation and comparison with the kurtogram[J]. Mechanical Systems and Signal Processing,2011,25(1):431-451. [20] LEI Y,LIN J,HE Z,et al. Application of an improved kurtogram method for fault diagnosis of rolling element bearings[J]. Mechanical Systems and Signal Processing,2011,25(5):1738-1749. [21] WANG D,PETER W T,TSUI K L. An enhanced Kurtogram method for fault diagnosis of rolling element bearings[J]. Mechanical Systems and Signal Processing,2013,35(1-2):176-199.