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Remaining useful life prediction is a key issue in prognostics and health management. A degradation model is presented in this paper for online remaining useful life prediction utilizing a Wiener-process-based model with an adaptive drift parameter. This model is different from other Wiener-process-based model in that the drift parameter is updated iteratively when new monitored data come. With the...
Remaining useful life (RUL) prediction is an important part in prognostics and health management. This paper addresses the problem of estimating RUL from observed degradation data. A Wiener-process-based model for online lifetime prediction is developed to achieve this aim. In this paper a Wiener process with non-linear drift and measurement error is used to characterize the degradation process and...
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