Results 21 to 30 of about 26,953 (213)
A Data-Driven Fuzzy Approach for Predicting the Remaining Useful Life in Dynamic Failure Scenarios of a Nuclear Power Plant [PDF]
, 2010 This paper presents a similarity-based approach for prognostics of the Remaining Useful Life (RUL) of a system, i.e. the lifetime remaining between the present and the instance when the system can no longer perform its function. Data from failure dynamic
Di Maio, F., Zio, Enrico
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Lithium-ion batteries Remaining Useful Life Prediction Method Considering Recovery Phenomenon
International Journal of Electrochemical Science, 2019 Estimation of lithium battery remaining useful life (RUL) is the key to lithium battery health management. In the process of intermittent discharging lithium batteries, the recovery phenomenon will have a relatively large impact on the life of lithium ...
Zhenyu Zhang +5 more
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A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery
Shock and Vibration, 2021 Rolling bearings are key components of rotating machinery, and predicting the remaining useful life (RUL) is of great significance in practical industrial scenarios and is being increasingly studied.
Hailong Lin +7 more
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A Transfer Learning-based Approach to Predict the Shelf life of Fruit
Inteligencia Artificial, 2021 Shelf-life prediction for fruits based on the visual inspection and with RGB imaging through external features becomes more pervasive in agriculture and food business.
Varsha Bhole, Arun Kumar
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Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach
IEEE Access, 2018 Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven approaches to this problem.
Lei Ren +5 more
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IEEE Access, 2020 Remaining useful life (RUL) estimation is expected to provide appropriate maintenance for components or systems in industry to improve the reliability of the systems.
Fei Li +8 more
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RUL Prediction of Rolling Bearings Based on a DCAE and CNN
Applied Sciences, 2021 Predicting the remaining useful life (RUL) of mechanical equipment can improve production efficiency while effectively reducing the life cycle cost and failure rate.
Chenyang Wang +3 more
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Applied Sciences, 2021 This paper proposes a method on predicting the remaining useful life (RUL) of a concrete piston of a concrete pump truck based on probability statistics and data-driven approaches.
Jie Li +4 more
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Remaining useful life estimation in heterogeneous fleets working under variable operating conditions [PDF]
, 2016 The availability of condition monitoring data for large fleets of similar equipment motivates the development of data-driven prognostic approaches that capitalize on the information contained in such data to estimate equipment Remaining Useful Life (RUL).
Al-Dahidi, Sameer +3 more
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Remaining Useful Life (RUL) Estimation of Lead Acid Battery using Bayesian Approach
Journal of Electrical Engineering and Automation, 2020 This article deals with Remaining Useful Life (RUL) estimation of Lead Acid Battery using a probabilistic approach which is Bayesian inference of Linear Regression. RUL estimation of lead acid battery plays a very crucial role as it can prevent the catastrophic failure for the system in which it is used to serve as a power supply mainly in automobiles.
Bhalaji N., Rimi Chowdhury
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