Results 41 to 50 of about 4,675,099 (276)
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]
This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core +3 more sources
IEEE Access, 2019 Lithium-ion batteries are the main form of energy providers for electric vehicles. To ensure the reliability and the safety of electric vehicles, it is necessary to estimate the remaining useful life of lithium-ion batteries.
Dongxu Shen +3 more
doaj +1 more source
Residual Life Prediction of Bearings Based on SENet-TCN and Transfer Learning
IEEE Access, 2022 Accurate bearing remaining life prediction guarantees safety and continued profitability for the industry. Variable operating conditions of the bearing and difficulty in obtaining corresponding data labels in the industry result in low prediction ...
Yan Wang, Hua Ding, Xiaochun Sun
doaj +1 more source
Remaining useful life prediction of rotating equipment using covariate-based hazard models : Industry applications [PDF]
, 2017 The ability to estimate the expected Remaining Useful Life (RUL) is critical to reduce maintenance costs, operational downtime and safety hazards. In most industries, reliability analysis is based on the Reliability Centred Maintenance (RCM) and lifetime
Yarlagadda, Prasad K. +5 more
core +2 more sources
Advances in Mechanical Engineering, 2017 Rapid and accurate lifetime prediction of critical components in a system is important to maintaining the system’s reliable operation. To this end, many lifetime prediction methods have been developed to handle various failure-related data collected in ...
Fuqiang Sun +3 more
doaj +1 more source
Actuators, 2022 The turbofan engine is a pivotal component of the aircraft. Engine components are susceptible to degradation over the life of their operation, which affects the reliability and performance of an engine.
Unnati Thakkar, Hicham Chaoui
doaj +1 more source
Solid-State Lithium Battery Cycle Life Prediction Using Machine Learning
Applied Sciences, 2021 Battery lifetime prediction is a promising direction for the development of next-generation smart energy storage systems. However, complicated degradation mechanisms, different assembly processes, and various operation conditions of the batteries bring ...
Danpeng Cheng +9 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
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
FEBS Letters, EarlyView.Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source