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

Knocking BIG DATA Down to Size

Publications

Infrared image stream based regressors for contactless machine prognostics: Dong, Y., Xia, T., Wang, D., Fang, X., & Xi, L. (2021), MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 154. https://doi.org/10.1016/j.ymssp.2020.107592
Remaining useful life prediction based on a multi-sensor data fusion model: Li, N., Gebraeel, N., Lei, Y., Fang, X., Cai, X., & Yan, T. (2021), RELIABILITY ENGINEERING & SYSTEM SAFETY, 208. https://doi.org/10.1016/j.ress.2020.107249
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

View all publications via NC State Libraries