Results 21 to 30 of about 400,124 (266)
Remaining Useful Life Estimation of Bearings
International Journal of Prognostics and Health Management, 2021 In the domain of predictive maintenance, when trying to repli- cate and compare research in remaining useful life estimation (RUL), several inconsistencies and errors were identified in the experimental methodology used by various researchers. This makes the replication and the comparison of results diffi- cult, thus severely hindering both progress in
Hugo M. Ferreira, Alexandre C. de Sousa
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A Novel Deep Learning Approach for Machinery Prognostics Based on Time Windows
Applied Sciences, 2019 Remaining useful life (RUL) prediction is a challenging research task in prognostics and receives extensive attention from academia to industry. This paper proposes a novel deep convolutional neural network (CNN) for RUL prediction.
Hanbo Yang +4 more
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Remaining Useful Life Estimation Using Functional Data Analysis [PDF]
2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019 Accepted by IEEE International Conference on Prognostics and Health Management ...
Wang, Qiyao +4 more
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A remaining useful life prediction method based on PSR-former
Scientific Reports, 2022 The non-linear and non-stationary vibration data generated by rotating machines can be used to analyze various fault conditions for predicting the remaining useful life(RUL).
Huang Zhang +6 more
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Remaining Useful Life Prediction Based on Multi-Representation Domain Adaptation
Mathematics, 2022 All current deep learning-based prediction methods for remaining useful life (RUL) assume that training and testing data have similar distributions, but the existence of various operating conditions, failure modes, and noise lead to insufficient data ...
Yi Lyu +3 more
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Simple Remaining Useful Life Algorithm Using the Quadratic
PHM Society Asia-Pacific Conference, 2023 The goal of predictive maintenance (PdM) is to facilitate on-condition maintenance or reduce/eliminate unscheduled maintenance events. For critical systems such as aircraft,PdM improves safety while increasing operational readiness. Aircraft operators can order the parts and ensure the correct skills and tools are available to avoid unplanned downtime ...
Eric Bechhoefer +4 more
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Remaining useful life estimation of a Product [PDF]
Journal of Physics: Conference Series, 2020 Abstract A sudden failure of a product or a component may result in loss of valuable data or interruption in the task being carried out. In order to eliminate these kind of scenarios and to avoid unnecessary investments on the used products, the remaining life need to be predicted/estimated.
K Murali Krishna, Dr K Janardhan Reddy
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Aero-Engine Remaining Useful Life Prediction Based on Bi-Discrepancy Network
Sensors, 2023 Most unsupervised domain adaptation (UDA) methods align feature distributions across different domains through adversarial learning. However, many of them require introducing an auxiliary domain alignment model, which incurs additional computational ...
Nachuan Liu +3 more
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Renewable Energy and Sustainable Development, 2016 —Prognostic activity deals with prediction of the remaining useful life (RUL) of physical systems based on their actual health state and their usage conditions.
Nabil Laayouj, Hicham Jamouli
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LSTM-Based Broad Learning System for Remaining Useful Life Prediction
Mathematics, 2022 Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the ...
Xiaojia Wang +3 more
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