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Predicting Remaining Useful Life of Well Tubulars
Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE)This work proposes a reliability-based framework to estimate the Remaining Useful Life (RUL) of well tubulars throughout the lifecycle of oil and gas wells. The RUL estimation is supported by a probabilistic analysis that accounts for uncertainties in geometrical and material properties, based on failure modes defined in the API/TR 5C3 standard.
null Luís Philipe Ribeiro Almeida +6 more
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Remaining Useful Life Prediction for Aircraft Maintenance Using Machine Learning
Quality and Reliability Engineering InternationalABSTRACT Ensuring regular equipment maintenance is critical for any business that relies on machinery. Predictive maintenance (PdM) is a strategy for scheduling maintenance tasks, with a primary focus on predicting the remaining useful life (RUL) of equipment in advance.
Sana Abbes +4 more
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Predicting Remaining Useful Life Using AdaBoost Algorithm
Advances in Science and TechnologyPredicting the Remaining Useful Life (RUL) of machinery and critical components is crucial for proactive maintenance and operational efficiency in industrial settings. This paper presents an approach to RUL prediction using the AdaBoost algorithm, a technique that iteratively improves prediction accuracy by focusing on difficult-to-predict cases.
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Predictive Maintenance - Exploring strategies for Remaining Useful Life (RUL) prediction
2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022Eliza Maria Olariu +3 more
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Uncertainty in Remaining Useful Life Prediction
23rd ABCM International Congress of Mechanical Engineering, 2015null Stephen Ekwaro-Osire +3 more
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