Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks [PDF]
Sensors, 2021 Predictive maintenance of production lines is important to early detect possible defects and thus identify and apply the required maintenance activities to avoid possible breakdowns.
Ziqiu Kang +2 more
doaj +9 more sources
Remaining Useful Life (RUL) Prediction Based on the Bivariant Two-Phase Nonlinear Wiener Degradation Process [PDF]
EntropyRecent advancements in science and technology have resulted in products with enhanced reliability and extended lifespans across the aerospace and related sectors.
Lijun Sun, Yuying Liang, Zaizai Yan
doaj +5 more sources
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction [PDF]
PHM Society Asia-Pacific Conference, 2023 A core part of maintenance planning is a monitoring system that provides a good prognosis on health and degradation, often expressed as remaining useful life (RUL).
Andresen, Juan Carlos +2 more
core +3 more sources
Hybrid framework for Remaining Useful Life (RUL) prediction of rolling bearing faults
ArrayRemaining Useful Life (RUL) prediction is critical for preventing catastrophic failures in industrial systems, enabling efficient maintenance scheduling and resource optimization.
Ali Saeed +6 more
doaj +3 more sources
Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems [PDF]
Journal of Prognostics and Health Management, 2023 Prognostic and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software. While software does not decay over time, it can degrade over release cycles. Software health management is confined to diagnostic assessments that identify problems, whereas prognostic
Islam, Ray, Sandborn, Peter
semanticscholar +4 more sources
Remaining useful life (RUL) prediction of bearing by using regression model and principal component analysis (PCA) technique [PDF]
Vibroengineering Procedia, 2019 A wind turbine works under variable load and environmental conditions because of which failure rate has been on the rise. Failure of a gearbox, an integral part of producing wind energy, contributes to 80 % of the total downtime for the wind turbine.
Apakrita Tayade +4 more
openaire +2 more sources
Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach [PDF]
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
doaj +3 more sources
A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers [PDF]
SensorsThis study develops a ship propeller diagnostic system to address the issue of insufficient ship maintenance capacity and enhance operational efficiency.
Sheng-Chih Shen +4 more
doaj +2 more sources
Research on Remaining Useful Life Prediction of Equipment Based on Digital Twins [PDF]
SensorsRemaining Useful Life (RUL) prediction is a key factor in fault diagnosis, prediction, and health management (PHM) during equipment operation and service.
Jiaju Wu +5 more
doaj +2 more sources
A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification [PDF]
SensorsRemaining Useful Life (RUL) prediction is a crucial task in predictive maintenance. Currently, gated recurrent networks, hybrid models, and attention-enhanced models used for predictive maintenance face the challenge of balancing prediction accuracy and ...
Lilu Wang +3 more
doaj +2 more sources