Results 51 to 60 of about 1,051,691 (327)
Hierarchical spline for time series forecasting: An application to Naval ship engine failure rate [PDF]
2021 Applied AI Letters, 2020 Predicting equipment failure is important because it could improve availability and cut down the operating budget. Previous literature has attempted to model failure rate with bathtub-formed function, Weibull distribution, Bayesian network, or AHP. But these models perform well with a sufficient amount of data and could not incorporate the two salient ...
arxiv +1 more source
Diagnosis of Equipment Failures by Pattern Recognition [PDF]
IEEE Transactions on Reliability, 1974 The main problems in relation to automatic fault finding and diagnosis in equipments or production systems are discussed: 1) compression of the syndrome and observation spaces for better discrimination between failure modes; 2) simultaneous display of the failure patterns and the failure instants, for maintenance control and review of the reliability ...
openaire +3 more sources
Current approach for the prosthesis patient mismatch
Türk Kardiyoloji Derneği Arşivi, 2013 All prosthetic valves are at least mildly stenotic and have relatively high transvalvular pressure gradients that can be observed despite normal prosthesis function.
Asuman Biçer Yeşilay +2 more
doaj +1 more source
Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells
FEBS Letters, EarlyView.Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga +6 more
wiley +1 more source
Non-Markovian recovery makes complex networks more resilient against large-scale failures [PDF]
, 2019 Non-Markovian spontaneous recovery processes with a time delay (memory) are ubiquitous in the real world. How does the non-Markovian characteristic affect failure propagation in complex networks? We consider failures due to internal causes at the nodal level and external failures due to an adverse environment, and develop a pair approximation analysis ...
arxiv +1 more source
RIS-aided Localization under Pixel Failures [PDF]
arXiv, 2023 Reconfigurable intelligent surfaces (RISs) hold great potential as one of the key technological enablers for beyond-5G wireless networks, improving localization and communication performance under line-of-sight (LoS) blockage conditions. However, hardware imperfections might cause RIS elements to become faulty, a problem referred to as pixel failures ...
arxiv
Estimation of component redundancy in optimal age maintenance [PDF]
, 2012 The classical Optimal Age-Replacement defines the maintenance strategy based on the equipment failure consequences. For severe consequences an early equipment replacement is recommended. For minor consequences the repair after failure is proposed.
Garção, José +2 more
core
Identification of novel small molecule inhibitors of ETS transcription factors
FEBS Letters, EarlyView.ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla +9 more
wiley +1 more source
Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach [PDF]
arXiv, 2020 Failure of mission-critical equipment interrupts production and results in monetary loss. The risk of unplanned equipment downtime can be minimized through Predictive Maintenance of revenue generating assets to ensure optimal performance and safe operation of equipment.
arxiv
Reliability and Survivability Analysis of Data Center Network Topologies [PDF]
, 2015 The architecture of several data centers have been proposed as alternatives to the conventional three-layer one.Most of them employ commodity equipment for cost reduction. Thus, robustness to failures becomes even more important, because commodity equipment is more failure-prone. Each architecture has a different network topology design with a specific
arxiv +1 more source