Biography:
Prof. Ningyun Lu received her Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 2004. She has been a research assistant and postdoctoral fellow in Hong Kong University of Science and Technology from 2002 to 2005. She is currently a Chair Professor of the Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her current research interests include data-driven health condition monitoring, intelligent fault diagnostics and prognostics, remaining useful life prediction and predictive maintenance, and their applications in aircrafts, satellites, railway vehicles, and industrial processes. She has published four monographs and over 160 peer-reviewed papers in the related area.


Speech title: Feature Engineering for Remaining Useful Life Prediction
 
Abstract: Feature engineering plays a vital role in various data-driven applications, especially in the field of Prognosis and Health Management (PHM) for complex engineering systems. Accurate prediction of Remaining useful life (RUL) is the cornerstone to realize PHM, which cannot work without smart use of massive data. Little can be achieved if there are few relevant and robust features extracted to represent the underlying degradation behavior. This talk will discuss the several key issues in feature engineering and RUL prediction, and present recent progress of the speaker's group, and finally discuss some novel perspectives along this direction.