1.博士（武汉大学，机械电子工程专业，2017.06）；
2.博士后（香港城市大学，2017.07-2020.09）；
3.副研究员与硕士研究生导师（武汉理工大学，2021.09-至今）。
研究方向：
机械设备健康状态诊断与监测。
项目：
2023.01-2025.12,无监督深度学习动态自适应列车轮对轴承健康状态诊断研究，国家自然科学青年基金项目(52205168)
代表作：
1.Fan Xu, Lei Wang. Constructing a health indicator for bearing degradation assessment via an unsupervised and enhanced stacked autoencoder. Advanced Engineering Informatics. (2022) 53:101708.
2.Fan Xu, Zhelin Huang, Fangfang Yang, Dong Wang, KwokLeung Tsui. Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion. Applied Soft Computing. (2020) 89: 106119.
3.Fan Xu, Peter Wai Tat TSE, Yiu, Lun Tse. Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label. Applied Soft Computing. (2018) 73: 898-913.
4.Fan Xu, Fangfang Yang, Zhelin Huang, Kwok Leung Tsui. Life prediction of lithium-ion batteries based on stacked denoising autoencoders. Reliability Engineering & System Safety. (2021) 208: 107396.
5.Fan Xu, Xin Shu, Ruoli Tang, Xin Li, Health indicator construction for roller bearing based on an unsupervised deep belief network with a novel sigmoid zero local minimum point model. Structural Health Monitoring-An International Journal, (2020) 1-14.