作者：赵鹏振, 刘继

作者单位：同济大学 铁道与城市轨道交通研究院 ，上海 201804

关键词：高速动车组;轴承故障;随机共振;蝙蝠算法

摘要：

仿真计算滚动轴承外圈故障引起的冲击信号，并将其作为轨道车辆的激励，输入到高速动车组整车模型的故障轴承位置。模拟列车运行，采集列车轴箱处的垂向加速度信号作为故障诊断信号，提出基于蝙蝠算法的自适应随机共振信号处理方法对其进行处理。提出故障诊断指标L的计算方法和基于L的一种新的高速动车组滚动轴承早期外圈故障的在途诊断方法。动力学仿真与数据处理结果表明提出的信号处理算法有较好的故障信号分离效果，提出的高速动车组滚动轴承早期故障的在途诊断新方法是有效的。

Bearing fault diagnosis of high-speed EMUs based on stochastic resonance and bat algorithm
ZHAO Pengzhen, LIU Ji
Institute of Railway Transit, Tongji University, Shanghai 201804, China
Abstract: The signal of impact excitation caused by the fault of outer ring of the bearing of EMUs were analyzed. Based on the dynamic model of CRH3, the operations of the train with the impact excitation putted on the part of fault bearing were simulated. Extracted the vertical acceleration signal at the axle-box as the input signal. Then, the input signal was processed with the method of adaptive stochastic resonance based on the bat algorithm. A new fault diagnosis indicator and its calculation method were proposed. In addition, a new method for the bearing fault diagnosis of EMUs was proposed based on the indicator and the processed signal. The result of dynamic simulation and data processing shows that the proposed signal processing method has great effect in separating the fault signal, and the method proposed for early bearing fault diagnosis of high-speed EMUs is effective.
Keywords: high-speed EMUs;bearing fault;stochastic resonance;bat algorithm
2021, 47(3):16-23  收稿日期: 2019-08-10;收到修改稿日期: 2019-10-13
基金项目:
作者简介: 赵鹏振(1995-),男,山东菏泽市人,硕士研究生,专业方向为交通运输工程
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