Results 71 to 80 of about 11,323,207 (336)
Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information
Machines, 2022 Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine.
Chao Wang, Zhangming Peng, Rong Liu
doaj +1 more source
Remaining Useful Life Prediction of Kernel Density Estimation Based on Adaptive Window Width
, 2021 The kernel density estimation method is completely based on the data instead of the assumption distribution models considering the data-driven remaining useful life prediction.
Zhang, Zhizhuang +9 more
core +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Differentially Private Federated Learning for Remaining Useful Life Prediction
Applied SciencesAccurate remaining useful life (RUL) prediction is essential for the safe and cost-effective operation of safety-critical systems such as electronic components and engines.
Arturs Nikulins +7 more
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles
IEEE Access, 2020 Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery failure by predicting the end of life. In this paper, we propose novel RUL prediction techniques based on long short-term memory (LSTM).
Kyungnam Park +4 more
doaj +1 more source
Remaining Useful Life Prediction for Turbofan Engine Using SAE-TCN Model
Aerospace, 2023 Turbofan engines are known as the heart of the aircraft. The turbofan’s health state determines the aircraft’s operational status. Therefore, the equipment monitoring and maintenance of the engine is an important part of ensuring the healthy and stable ...
Xiaofeng Liu +3 more
doaj +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Bearing Remaining Useful Life Prediction Based on NAP-HSMM [PDF]
, 2023 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 +2 more sources
Joint autoencoder-regressor deep neural network for remaining useful life prediction
Engineering Science and Technology, an International Journal, 2023 Ubiquitous availability of IoT technologies allows processing of large amounts of data to improve prognostics tasks in industrial applications. One such important task of prognostics is the prediction of remaining useful life of a system from past ...
Kürşat İnce, Yakup Genc
doaj +1 more source