Remaining Useful Life Prediction of Cutting Tools Using an Inverse Gaussian Process Model
نویسندگان
چکیده
منابع مشابه
Bayesian Approach for Remaining Useful Life Prediction
Prediction of the remaining useful life (RUL) of critical components is a non-trivial task for industrial applications. RUL can differ for similar components operating under the same conditions. Working with such problem, one needs to contend with many uncertainty sources such as system, model and sensory noise. To do that, proposed models should include such uncertainties and represent the bel...
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The remaining useful life (RUL) prediction of Lithium-ion batteries is closely related to the capacity degeneration trajectories. Due to the self-charging and the capacity regeneration, the trajectories have the property of multimodality. Traditional prediction models such as the support vector machines (SVM) or the Gaussian Process regression (GPR) cannot accurately characterize this multimoda...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2021
ISSN: 2076-3417
DOI: 10.3390/app11115011