T3: Data Driven Life Prediction Methods for Equipment


Abstract


The past decades have witnessed an increasingly growing interest to prognostics and health management (PHM) in both academic and industrial communities, including electronics, energy industry, aeronautics and aerospace, manufacturing, nuclear plants, etc. As a key to PHM, the life prediction of deteriorating systems has been attached great importance by scholars and engineers in the related fields. In this report, we will discuss several frequently used models for life prediction, including physics-based model, experience based model, statistical model, degradation model, regression models, fusion model, etc. In addition, several new advances and future directions will be discussed as well.

Speaker


Changhua Hu avatar
Changhua Hu China

Rocket Force University, China


Changhua Hu received the B.S. and M.S. degrees from the High-Tech Institute of Xi’an, Xi’an, China, in 1987 and 1990, respectively, and the Ph.D. degree from Northwestern Polytechnical University, Xi’an, China, in 1996.

He is currently a Chang Jiang Professor of the Rocket Force University of Engineering University. He has gained the National Science Foundation for Outstanding Young Scholar of China. He is the National Famous Teacher of China. He has published more than 300 papers. His main research interest focuses on the fault diagnosis, fault tolerant control and life-time prediction for equipment