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
A hybrid CNN-DNN model for battery remaining useful life RUL prediction [PDF]
Scientific ReportsAccurate prediction of the Remaining Useful Life of lithium-ion batteries is essential for enhancing reliability, safety, and maintenance planning in energy storage systems.
Hala Khoufi +3 more
doaj +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 +4 more sources
Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery [PDF]
Applied Ocean Research, 2023 Although the maritime industry has the potential to lead smart maintenance methodologies, current maintenance routines within the sector focus on either reactive or preventive maintenance approaches; approaches which are increasingly conservative and often prompted by an increase of large costs or unnecessary maintenance actions.
Christian Velasco-Gallego +1 more
exaly +7 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
A Novel RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings
MachinesMaintaining the reliability of rotating machinery in industrial environments entails significant challenges. The objective of this paper is to develop a methodology that can accurately predict the condition of rotating machinery in order to facilitate ...
Miao He, Zhonghua Li, Fangchao Hu
doaj +4 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). Most of the current data-driven approaches for RUL prediction focus on single-point prediction.
Abhishek Srinivasan +2 more
openaire +3 more sources
A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering [PDF]
Scientific ReportsPredictive maintenance (PdM) has seen significant advances through machine learning, yet its practical deployment remains challenged by data scarcity, system complexity, and uncertainty in cost-related decisions.
Ali Hakami
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
Sensors, 2022 The instability and variable lifetime are the benefits of high efficiency and low-cost issues in lithium-ion batteries.An accurate equipment’s remaining useful life prediction is essential for successful requirement-based maintenance to improve ...
Sadiqa Jafari, Yung-Cheol Byun
doaj +1 more source