Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
… components’ degradation process to predict the remaining useful life (RUL). Traditionally, …
driven method for RUL prediction is presented. In the offline phase, the proposed method …
driven method for RUL prediction is presented. In the offline phase, the proposed method …
An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
… -based prognostic … method was demonstrated using tool wear prediction. Experimental
results have shown that the random forests-based prognostic method can generate predictions …
results have shown that the random forests-based prognostic method can generate predictions …
Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan–Meier estimation
… One of the limitation of that prognostic method is that it uses … Another limitation of that method
is the consideration of … a new prognostic methodology based on LAD in order to predict the …
is the consideration of … a new prognostic methodology based on LAD in order to predict the …
An enhanced deep learning-based fusion prognostic method for RUL prediction
CG Huang, X Yin, HZ Huang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… In this article, a novel BLSTM-PF fusion prognostic method was proposed to achieve a
reliable and robust RUL prediction. Remarkable characteristics of the proposed method are …
reliable and robust RUL prediction. Remarkable characteristics of the proposed method are …
Metrics for evaluating performance of prognostic techniques
… In this section we provide a concise assessment of prediction performance evaluation
methods in various domains. Specific relevant performance metrics have been listed in the next …
methods in various domains. Specific relevant performance metrics have been listed in the next …
Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction
… on previously observed data to predict the projection of a system’… prognostics method for
remaining useful life prediction with … Li, “Prognostic analysis based on hybrid prediction method …
remaining useful life prediction with … Li, “Prognostic analysis based on hybrid prediction method …
Discovering prognostic features using genetic programming in remaining useful life prediction
L Liao - IEEE Transactions on Industrial Electronics, 2013 - ieeexplore.ieee.org
… the accuracy requirement of RUL prediction. This paper presents a genetic programming
method for automatically discovering prognostic features specifically for RUL prediction tasks. …
method for automatically discovering prognostic features specifically for RUL prediction tasks. …
Model-based prognostic techniques [maintenance applications]
J Luo, M Namburu, K Pattipati, L Qiao… - … 2003. IEEE Systems …, 2003 - ieeexplore.ieee.org
… In this paper, the focus of our application is on prognosis (remaining life prediction) of an …
prognostic techniques; their usage must be tuned for each application. The prognostic methods …
prognostic techniques; their usage must be tuned for each application. The prognostic methods …
Prognostic modelling options for remaining useful life estimation by industry
JZ Sikorska, M Hodkiewicz, L Ma - Mechanical systems and signal …, 2011 - Elsevier
… prognostic models for predicting the remaining useful life of … both the diagnostic and
prognostic methods being applied. … in prognostic modelling than for diagnostic prediction. While …
prognostic methods being applied. … in prognostic modelling than for diagnostic prediction. While …
[PDF][PDF] Prognostic methods in medicine
PJF Lucas, A Abu-Hanna - Artificial intelligence in medicine, 1999 - Citeseer
… Prognosis—the prediction of the course and outcome of disease processes—plays an
important role in patient management tasks like diagnosis and treatment planning. As a result…
important role in patient management tasks like diagnosis and treatment planning. As a result…
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