Xiaolei Fang
Assistant Professor
- Phone: 919.515.0312
- Email: xfang8@ncsu.edu
- Office: 4177 Fitts-Woolard Hall
- Website: https://xiaoleifang.wordpress.ncsu.edu/
My research interests lie in the field of industrial data analytics for High-Dimensional and Big Data applications in the energy, manufacturing, and service sectors. Specifically, I focus on addressing analytical, computational, and scalability challenges associated with the development of statistical and optimization methodologies for analyzing massive amounts of complex data structures for real-time asset management and optimization.
Methodologies
- Data Science
- Machine Learning
- Artificial Intelligence
Applications:
- Condition Monitoring
- Anomalies Detection
- Fault Root-Cause Diagnostics
- Degradation Modeling and Failure Time Prognostics
- System Performance Assessment, Optimization, Decision-making, and Control
Personal Website
Discover more about Xiaolei Fang
Publications
- Multi-sensor prognostics modeling for applications with highly incomplete signals
- Fang, X., Yan, H., Gebraeel, N., & Paynabar, K. (2020), IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2020.1789779
- 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., Xi, L., & 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., & Xi, L. (2019), COMPUTERS & INDUSTRIAL ENGINEERING, 133, 57–68. https://doi.org/10.1016/j.cie.2019.04.051
