This project is concerned with some fundamental issues of statistical analysis for remaining useful life estimation for prognostics and system health management (PHM). Due to sophisticated modeling of high reliable components and systems, classical approach may fail or become difficult for making inference on remaining useful life. The main objective of this project is to make Bayesian inference for complicated models in PHM that classical approach is difficult for implementation.
|Effective start/end date||01/01/15 → 31/12/18|
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