Specifically, we propose a two-factor state-space model based method (hereafter referred to as F2S2) for RUL prediction under time-varying operating conditions.
A state-space model based method is proposed to predict RUL under time-varying operating conditions. •. Two factors are analyzed separately: changes in ...
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. Author & abstract; Download; 10 ...
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.
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ABSTRACT. This paper investigates the remaining useful lifetime (RUL) estimation of bearings under dynamic, i.e., time-varying, op- erating conditions (OC).
Jun 29, 2024 · Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. Article. Feb ...
Jun 27, 2024 · This paper investigates the remaining useful lifetime (RUL) estimation of bearings under dynamic, i.e., time-varying, operating conditions ...
Apr 16, 2022 · The main advantage of the model-based method is that the prediction results are more intuitive, and the full combination of expert knowledge and ...
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges, Jianghong Zhou, ...
Li, Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model, Reliab. Eng. Syst. Saf ...