Xiaolei Fang
Assistant Professor
- Phone: 919.515.0312
- Email: xfang8@ncsu.edu
- Office: 472 | 111 Lampe Drive
- Website: https://xiaoleifang.wordpress.ncsu.edu/
Xiaolei Fang‘s research interest lies in the field of industrial data analytics for high-dimensional and big data applications in the energy, manufacturing, and service sectors.
Methodologies:
- Data science
- Machine learning
Applications:
- System performance assessment and optimization
- System anomalies detection
- Fault root causes diagnostics
- Remaining useful lifetime prediction
- Decision-making and control
Personal Website
Discover more about Xiaolei Fang
Publications
- Image-Based Prognostics Using Penalized Tensor Regression
- Fang, X., Paynabar, K., & Gebraeel, N. (2019), TECHNOMETRICS, 61(3), 369–384. https://doi.org/10.1080/00401706.2018.1527727
- Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization
- Xia, T., Fang, X., Gebraeel, N., & Pan, E. (2019), JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 141(5). https://doi.org/10.1115/1.4043255
- Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures
- Dong, Y., Xia, T., Fang, X., & Zhang, Z. (2019), COMPUTERS & INDUSTRIAL ENGINEERING, 133, 57–68. https://doi.org/10.1016/j.cie.2019.04.051
