Results 31 to 40 of about 9,526,985 (202)
jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
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An RUL-informed approach for life extension of high-value assets [PDF]
, 2022 The conventional approaches for life-extension (LE) of industrial assets are largely qualitative and focus only on a few indicators at the end of an asset’s design life.
Shafiee, M., Ochella, S., Sansom C
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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
doaj +1 more source
A data-driven framework for remaining useful life estimation [PDF]
, 2017 Remaining useful life (RUL) estimation is one of the most common tasks in the field of prognostics and structural health management. The aim of this research is to estimate the remaining useful life of an unspecified complex system using some data-driven
Nguyen, Hoa Dinh
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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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Remaining useful life prediction of rotating equipment using covariate-based hazard models : Industry applications [PDF]
, 2015 The ability to estimate the expected Remaining Useful Life (RUL) is critical to reduce maintenance costs, operational downtime and safety hazards. In most industries, reliability analysis is based on the Reliability Centred Maintenance (RCM) and lifetime
Yarlagadda, Prasad K. +15 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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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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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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Results in EngineeringAccurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs.
Kelly Tartt +4 more
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