Degradation Modeling and Monitoring

This research studies degradation processes, which are characterized by a gradual and irreversible accumulation of damage that eventually leads to failure in engineering systems, such as machinery, civil structures, jet engines, turbine, etc. The specific focus is on degradation processes whose manifestations can be monitored using sensor technology. For such processes, failure is said to occur once a sensor-based degradation signal crosses a predetermined failure threshold. Within this construct, the evolution of degradation signals can be used to predict the remaining useful life of partially degraded systems and/or their components. The overall objective of this research is to develop a non-parametric stochastic degradation modeling methodology that characterizes the evolution of degradation signals with the aim of predicting and updating, in real-time, residual life distributions of partially degraded components.

1. Zhou, R.R., Serban, N., Gebraeel, N. (2011), "Degradation Modeling and Lifetime Monitoring using Functional Data Analysis", Annals of Applied Statistics, Vol. 5, No. 2B, 1586-1610.
[Paper Document] [Supplemental Materials] [Software]

2. Zhou, R.R., Gebraeel, N., Serban, N. (2012), "Degradation Modeling and Monitoring of Truncated Degradation Signals", IIE Transactions, 44(9), 793-803.

3. Zhou, R.R., Serban, N., Gebraeel, N., Muller, H.G. (2014), "A Functional Time Warping Approach to Modeling and Monitoring Truncated Degradation Signals", Technometrics 56 (1), p. 67-77.
[Paper Document] [Supplemental Materials] [Software]

4. Zhou, R.R., Serban, N., Gebraeel, N. (2014), "Degradation-based Residual Life Prediction Under Different Environments", ", Annals of Applied Statistics 8(3), 1671-1689.
[Paper Document] [Supplemental Materials] [Software]


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