夏平，博士，硕士研究生导师，实验师

邮箱：qpingxia@hotmail.com

教育经历

2014/09 – 2021/09  西安交通大学    机械工程 工学博士

2010/09 – 2013/06  兰州理工大学 机械设计及理论      硕士

2006/09 – 2010/07  吉林农业大学 机械设计制造及自动化 学士

工作经历

2013/06 – 2014/06   瓦房店轴承集团有限责任公司 工艺员

2022/03 –  至今 西安石油大学 实验师

研究方向

1.基于随机共振理论的滚动轴承早期故障微弱特征增强方法研究

2.典型工况下球轴承组件动态接触早期磨损故障形成机理研究

科研项目

主持陕西省自然科学基础研究计划-青年项目1项：精密机床球轴承自然磨损故障机理与性能退化诊断研究（No. 2023-JC-QN-0505）

参与国家973计划项目“高性能滚动轴承基础研究”课题1：轴承复杂界面系统相互作用的动态接触积累及轴承失效（2011CB706601/2）

学术成果

[1] Ping Xia, Hua Xu, Mohan Lei, Shenglun Zhang. An improved underdamped asymmetric bistable stochastic resonance method and its application for spindle bearing fault diagnosis[J]. IEEE Access, (8) (2020): 46824-46836.

[2] Ping Xia, Hua Xu, Mohan Lei, Zaichao Ma. An improved stochastic resonance method with arbitrary stable-state matching in underdamped nonlinear systems with a periodic potential for incipient bearing fault diagnosis[J], Measurement Science and Technology. 29 (2018) 085002.

[3] Ping Xia, Hua Xu, Mohan Lei, Zaichao Ma. An improved extreme-point symmetric mode decomposition method and its application to rolling bearing fault diagnosis[J], Journal of Vibroengineering. 20 (8) (2018) 2810-2824.

[4] 夏平, 徐华, 马再超, 雷默涵, 裴世源, 谯自健. 采用改进HVD与Lempel-Ziv复杂性测度的滚动轴承早期损伤程度评估方法[J]. 西安交通大学学报, 2017, 51(6):8-13.

[5] Ping Xia, Hua Xu. Extreme-point symmetric mode decomposition method and its application to rolling bearing fault diagnosis[J]. 6th World Tribology Congress, WTC 2017 China Beijing.

[6] 徐华, 夏平, 陈晓雷. 使用超精密角接触球和圆柱滚子轴承的高速电主轴装置, ZL 2015 1 1028787.3[P] . 2015. (已授权)

[7] Mohan Lei, Feng Gao, Yan Li, Ping Xia, Mengchao Wang, Jun Yang. Feedback control–based active cooling with pre-estimated reliability for stabilizing the thermal error of a precision mechanical spindle[J]. The International Journal of Advanced Manufacturing Technology, 2022, 121: 2023–2040.

[8] Mohan Lei, Jun Yang, Feng Gao, Yan Li, Liang Zhao, Ping Xia, Mengchao Wang, Xia Zhang. Closed-loop thermal error control with a physical-based ensemble model for the precision spindle of a machine tool[J]. The International Journal of Advanced Manufacturing Technology, 2023, 125: 1859–1877.

[9] Mohan Lei, Feng Gao, Yan Li, Ping Xia, Liang Zhao, Jun Yang. Feedback control of the mechanical spindle thermal error based on thermal simulation with bearing heat sources analysis[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2023, Published online.

[10] Mohan Lei, Jun Yang*, Liang Zhao, Shuai Wang, Ping Xia, Gedong Jiang, Xuesong Mei. Semi-supervised modeling and compensation for the thermal error of precision feed axes[J]. The International Journal of Advanced Manufacturing Technology. 2019, 104(9-12): 4629–4640.

[11] Mohan Lei, Gedong Jiang, Liang Zhao, Jinshi Wang, Ben Q. Li, Ping Xia, Jun Yang*, Xuesong Mei. Thermal error controlling for the spindle in a precision boring machine with external cooling across coated joints[J]. Proceedings of the Institution of Mechanical Engineers, Part C-Journal of Mechanical Engineering Science. 2019, 234(2): 658-675

[12] Mohan Lei, Gedong Jiang, Jun Yang*, Xuesong Mei, Ping Xia, Liang Zhao. Thermal error modeling with dirty and small training sample for the motorized spindle of a precision boring machine[J]. The International Journal of Advanced Manufacturing Technology, 2017, 93(1–4): 571–586.

[13] Mohan Lei, Gedong Jiang, Jun Yang*, Xuesong Mei, Ping Xia, Hu Shi. Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach[J]. The International Journal of Advanced Manufacturing Technology, 2018, 99(5–8): 1389–1403.