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Degradation reliability prediction under stochastic failure threshold is studied. The explicit expression of reliability is derived, by charactering the uncertainty of failure threshold with probability distribution. Then, a possibilistic approach for reliability modeling and prediction for degrading components is presented, by use of possibility distribution.
Knowledge of the reliability of power transformers is of growing importance to the asset manager. A method is presented for determining the reliability of a power transformer based on the mechanical strength of winding insulation paper. In addition to the modelling technique, there is a validation method for the modelling technique presented. The validation method depends on a good data management...
This paper investigates the issues related to variability in degradation-based reliability models and how the variability affects the remaining useful life prognosis being made by those models. Particularly, uncertain failure thresholds in cumulative damage models are of primary interest in this study. Many degradation-based reliability approaches make use of a predefined deterministic value of the...
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