Results 31 to 40 of about 10,974,174 (198)
Bearing Remaining Useful Life Prediction Based on NAP-HSMM [PDF]
The prediction of remaining useful life (RUL) is the most challenge task in the area of reliability and safety of rolling bearing. Nuisance attribute projection (NAP) is used in this paper to eliminate the impact of operating conditions in vibration ...
Wang, Sh.
core +1 more source
Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions.
Pengfei Li, Song Ming, Xiangang Cao
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Prediction of Remaining Useful Life of the Lithium-Ion Battery Based on Improved Particle Filtering
Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in battery failure prediction and health management (PHM).
Tiezhou Wu +3 more
doaj +1 more source
Remaining Useful Life Prediction Method for Electric Submersible Pump System Based on DA-RNN
Electric submersible pump (ESP) is the main artificial lift equipment in offshore oilfields. Its operation and maintenance costs are extremely high. Once it gets out of order, it will cause losses to oilfield operations.
Yu Jifei +6 more
doaj +3 more sources
Parallel simulation based adaptive prediction for equipment remaining useful life [PDF]
The latest demands for remaining useful life (RUL) prediction are online prediction, real-time prediction and adaptive prediction. This paper addresses the demands of RUL prediction and proposes a novel framework of parallel simulation based adaptive ...
Chenglong Ge +7 more
core +1 more source
Multiscale similarity ensemble framework for remaining useful life prediction
Art. 110565Accurate prediction of remaining useful life (RUL) is crucially important to perform prognostics and health management. A new similarity-based autoencoder multiscale ensemble (Similarity-based AE MSEN) methodology is proposed in this paper to ...
Xia, T. +4 more
core +1 more source
A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification
Remaining 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 +1 more source
Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after ...
Gaojun Liu +4 more
doaj +1 more source
Predictive Analysis of Remaining Useful Life (RUL) of Batteries: Review
The increasing reliance on batteries for electric vehicles, renewable energy systems, and consumer electronics has necessitated advancements in predictive models for their Remaining Useful Life (RUL). This paper reviews current methodologies for RUL prediction, focusing on machine learning techniques, data-driven approaches, and hybrid models that ...
Sakshi Belkhode +5 more
openaire +1 more source
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source

