Results 31 to 40 of about 679,610 (316)
jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
core +1 more source
Predicting the Life of Varistors via a Nonlinear Coefficient Based on a Small-Scale Data Model
Applied Sciences, 2023 With the great leaps forward in the development of the railway, the importance of safe operation and maintenance has become increasingly prominent. Varistor is the key component insurge protective devices for railway communication and signaling equipment,
Xiaofei Ruan +3 more
doaj +1 more source
Surface profile prediction and analysis applied to turning process [PDF]
, 2008 An approach for the prediction of surface profile in turning process using Radial Basis Function (RBF) neural networks is presented. The input parameters of the RBF networks are cutting speed, depth of cut and feed rate.
LU, Chen, COSTES, Jean-Philippe
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Temperature Cycle Reliability Analysis of an FBAR Filter-Bonded Ceramic Package
Micromachines, 2023 On the background that the operating frequency of electronic devices tends to the radio frequency (RF) segment, a film bulk acoustic resonator (FBAR) filter is widely used in communication and military fields because of its advantages of high upper ...
Wenchao Tian +4 more
doaj +1 more source
PREDICTING THE FUTURE AND SATISFACTION WITH LIFE
Scientific Studios on Social and Political Psychology, 2017 According to our results, increase in productivity of personal prediction has a positive influence on life satisfaction. The present research explores what role the various types of future prediction play in personal life satisfaction. The study focuses on some psychological time phenomena: desires, life choices, aspirations, motivations.
openaire +4 more sources
Frontiers in Energy ResearchThe transformation of energy structure has brought about new changes in the power system, and the environmentally friendly gas switchgear with the goal of low carbon and environmental protection has been widely spread and applied, but due to its short ...
Ziyu Zhang +8 more
doaj +1 more source
Low Cycle Fatigue Characteristics of a Ni-Based Single Crystal Superalloy CMSX-4 at Elevated Temperature [PDF]
한국정밀공학회지, 2019 Isothermal low cycle fatigue (LCF) behavior of a crystal nickel-based superalloy CMSX-4, a material for high-pressure turbine first stage rotor blade, was investigated at elevated temperatures.
Jae Gu Choi +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Accelerated Service Life Testing of Photovoltaic Modules
, 2022 S.199-213Temperature, temperature cycling, water and UV radiation are considered as main degradation factors for PV modules by causing hydrolysis and photodegradation of polymeric components and corrosion of glass and of metallic components like grids ...
Köhl, Michael
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Prediction of Low-Cycle Fatigue Life of In738LC Using Plastic Strain Energy Density [PDF]
한국정밀공학회지, 2019 Gas turbine blades are important parts of a power plant, and thus, it is necessary to be able to predict the low-cycle fatigue life of the blades.
Sung Uk Wee +3 more
doaj +1 more source