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白永亮
2024-09-03 点击:
基本情况
姓名:白永亮
职称:副教授
职务:
学历:博士
类别:
联系方式:
电子邮箱:yongliangbai@126.com
工作单位:机电工程学院车辆系
白永亮
​主讲课程

程序设计及Matlab应用、现代检测技术与信号处理


研究方向及领域

1、轨道车辆振动信号处理

2、车辆关键元件故障诊断

教学科研项目

1、甘肃省科技厅计划项目,23JRRA909,复杂工况下城轨列车踏面-轴箱复合故障解耦与表征方法研究,4万,2023-07-01--2025-06-30,主持。

2、兰州交通大学青年科学基金项目,2022048,列车走行部关键系统复合故障智能诊断研究,2022-06-22--2025-12-01,3万,主持。

代表性教学科研成果

[1] YongliangBai; JianweiYanga; JinhaiWang; YueZhao; QiangLi ; Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheels et-axlebox assemblies, Mechanical Systems and Signal Processing, 2021, 152(107421): 107421 (期刊论文)

[2] Jianwei Yang; Yongliang Bai; Jinhai Wang; Yue Zhao ; Tri-axial vibration information fusion model and its application to gear fault diagnosis in variable working conditions, MeasurementScience and Technology, 2019, 30(9): 95009-95009 (期刊论文)

[3] Yongliang Bai; Jianwei Yang; Jinhai Wang; Qiang Li ; Intelligent Diagnosis for Railway Wheel Flat Using Frequency-Domain Gramian Angular Field and Transfer Learning Network, IEEE ACCESS,2020, 8: 105118-105126 (期刊论文)

[4] Bai, Y., Xue, H., Meng, J., Chen, J. (2024). Rolling Element Localized Fault Diagnosis Method for Train Bearings Based on Orthogonal Bi-axial Signals. Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023. (论坛优秀论文)

[5] Bai Y, Xue H, Chen J. Train Axlebox Bearing Fault Diagnosis Based on MSC–SGMD. Sensors. 2024; 24(1):254. https://doi.org/10.3390/s24010254