Results 21 to 30 of about 85,181 (261)
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
doaj +1 more source
An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction
Aerospace, 2023 Prognosis and health management depend on sufficient prior knowledge of the degradation process of critical components to predict the remaining useful life. This task is composed of two phases: learning and prediction.
Genane Youness, Adam Aalah
doaj +1 more source
Remaining Useful Life Prediction using Gaussian Process Regression Model
Annual Conference of the PHM Society, 2022 This paper evaluates the merits of a multi-variable Gaussian process regression (GPR) model for remaining useful life (RUL) estimation. The paper presents an optimization method that trains the GPR model to find the best kernel type and hyper-parameter combination.
Katarina Vuckovic, Shashvat Prakash
openaire +1 more source
Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
Shock and Vibration, 2021 The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao +3 more
doaj +1 more source
Predicting the remaining useful life of rolling element bearings [PDF]
2018 IEEE International Conference on Industrial Technology (ICIT), 2018 Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on
Hooghoudt, Jan Otto +4 more
openaire +2 more sources
Multi-Scale Remaining Useful Life Prediction Using Long Short-Term Memory
Sustainability, 2022 Predictive maintenance based on performance degradation is a crucial way to reduce maintenance costs and potential failures in modern complex engineering systems. Reliable remaining useful life (RUL) prediction is the main criterion for decision-making in predictive maintenance.
Youdao Wang, Yifan Zhao
openaire +3 more sources
Battery Remaining Useful Life Prediction with Inheritance Particle Filtering
Energies, 2019 Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li +3 more
doaj +1 more source
Remaining Useful Life Prediction of Lithium-Ion Battery Using ICC-CNN-LSTM Methodology
Energies, 2023 In recent years, lithium-ion batteries have gained significant attention due to their crucial role in various applications, such as electric vehicles and renewable energy storage.
Catherine Rincón-Maya +4 more
doaj +1 more source
Remaining useful life prediction based on an integrated neural network
工程科学学报, 2020 Unexpected failures and unscheduled maintenance activities of mechanical systems might incur considerable waste of resources and high investment costs. Thus, in recent years, prognostics and health management (PHM) has received a lot of attention because
Yong-feng ZHANG, Zhi-qiang LU
doaj +1 more source
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
IEEE Access, 2022 Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important role in managing the health and estimating the state of a battery.
Daoquan Chen, Weicong Hong, Xiuze Zhou
doaj +1 more source