This talk addresses four representative problems in reliability engineering—performance evaluation, accelerated assessment, fault prediction, and life estimation. Focusing on four types of correlation that are pervasive in degradation problems—parameter correlation, covariate correlation, phase correlation, and trajectory correlation—the presentation introduces the statistical analysis and applications of feature-correlated stochastic degradation models. These models are developed based on stochastic process representations of product failure evolution, and the discussion covers both theoretical foundations and practical applications.

Xiaobing Ma received his Ph.D. from and is a Professor at Beihang University. He currently serves as Vice Dean of the School of Reliability and Systems Engineering. His research and teaching focus on lifetime and reliability design, analysis, and validation of systems operating in complex service environments. Centered on the principles of fault “Prevention, Prediction, Control, and Feedback”. He has published more than 230 papers in journals and conferences such as IEEE Transactions on Reliability, Reliability Engineering & System Safety, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, Structural and Multidisciplinary Optimization, and Mechanical Systems & Signal Processing, and has authored four textbooks/monographs. He has received a National Teaching Achievement Award and multiple provincial and ministerial Science and Technology Progress Awards.