scholarly journals Effect of Blade Torsion on Modeling Results for the Small Wind Research Turbine (SWRT)

2006 ◽  
Vol 128 (4) ◽  
pp. 481-486 ◽  
Author(s):  
Dave Corbus ◽  
A. Craig Hansen ◽  
Jeff Minnema
Keyword(s):  
Wind Turbine ◽  
Model Development ◽  
Torsional Stiffness ◽  
Quality Data ◽  
Data Sets ◽  
Test Results ◽  
Rotor Speed ◽  
High Quality Data ◽  
Small Wind Turbine ◽  
Development And Validation

The small wind research turbine (SWRT) testing project was initiated with the goal of better characterizing both small wind turbine loads and dynamic behavior. The main purpose of the testing was to produce high quality data sets for model development and validation and to help the wind industry further their understanding of small wind turbine behavior, including furling. Previous papers have discussed modeling results for the SWRT using the FAST aeroelastic simulator. This paper summarizes modeling results from both the FAST and ADAMS aeroelastic simulators. The ADAMS model allows for blade torsional stiffness to be modeled, which is shown to significantly improve the agreement between model and test results for rotor speed and explain variances in previous comparisons between the SWRT FAST modeling results and the SWRT test data. The ADAMS model results also show that the aerodynamic pitching moment impacts the blade torsion more than the inertial forces.

The Cattell–Horn–Carroll Model of Cognition for Clinical Assessment

2016 ◽  
Vol 35 (6) ◽  
pp. 547-567 ◽  
Author(s):  
Paul A. Jewsbury ◽  
Stephen C. Bowden ◽  
Kevin Duff
Keyword(s):  
Executive Function ◽  
Clinical Assessment ◽  
Cognitive Abilities ◽  
Cognitive Assessment ◽  
Neuropsychological Tests ◽  
Significant Loss ◽  
Quality Data ◽  
Data Sets ◽  
Cognitive Tests ◽  
High Quality Data

The Cattell–Horn–Carroll (CHC) model is a comprehensive model of the major dimensions of individual differences that underlie performance on cognitive tests. Studies evaluating the generality of the CHC model across test batteries, age, gender, and culture were reviewed and found to be overwhelmingly supportive. However, less research is available to evaluate the CHC model for clinical assessment. The CHC model was shown to provide good to excellent fit in nine high-quality data sets involving popular neuropsychological tests, across a range of clinically relevant populations. Executive function tests were found to be well represented by the CHC constructs, and a discrete executive function factor was found not to be necessary. The CHC model could not be simplified without significant loss of fit. The CHC model was supported as a paradigm for cognitive assessment, across both healthy and clinical populations and across both nonclinical and neuropsychological tests. The results have important implications for theoretical modeling of cognitive abilities, providing further evidence for the value of the CHC model as a basis for a common taxonomy across test batteries and across areas of assessment.

scholarly journals Challenges and Strategic Research Plans for Earth and Heliosphere: Research Infrastructures, Projects and Initiatives

2017 ◽  
Vol 13 (S335) ◽  
pp. 219-225
Author(s):  
Ingrid Mann ◽  
Kirsti Kauristi ◽  
Ruth Bamford ◽  
Ian McCrea ◽  
Joeran Moen ◽  
...  
Keyword(s):  
Space Weather ◽  
Model Development ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Strategic Research ◽  
Research Infrastructures ◽  
Infrastructure Project ◽  
Open Issues ◽  
Weather Research

AbstractWe describe existing research infrastructures relevant for space weather and open issues of space weather research including the need for sustainable observation networks and for high-quality data products as basis for model development. The local relevance in Europe for studies of the ionosphere at high latitude is described. We propose as possible a way forward to sustain space weather research in Europe to establish a European research infrastructure project for space weather research and observations.

scholarly journals Pulsar Timing Arrays: Status and Techniques

2012 ◽  
Vol 8 (S291) ◽  
pp. 165-170 ◽  
Author(s):  
George Hobbs
Keyword(s):  
Solar System ◽  
Gravitational Waves ◽  
Quality Data ◽  
Data Sets ◽  
High Quality ◽  
High Quality Data ◽  
Pulsar Timing ◽  
Time Standard ◽  
Near Future

AbstractThree pulsar timing arrays are now producing high quality data sets. As reviewed in this paper, these data sets are been processed to 1) develop a pulsar-based time standard, 2) search for errors in the solar system planetary ephemeris and 3) detect gravitational waves. It is expected that the data sets will significantly improve in the near future by combining existing observations and by using new telescopes.

Microvibration Model Development and Validation of a Cantilevered Reaction Wheel Assembly

2012 ◽  
Vol 226-228 ◽  
pp. 133-137 ◽  
Author(s):  
Zhe Zhang ◽  
Guglielmo S. Aglietti ◽  
Wei Jia Ren
Keyword(s):  
Dynamic Characteristics ◽  
Energy Method ◽  
Model Development ◽  
Broadband Noise ◽  
Empirical Modeling ◽  
Model Parameters ◽  
Test Results ◽  
Reaction Wheel ◽  
Disturbance Model ◽  
Development And Validation

Reaction wheel assemblies are one of the most important microvibration sources on typical modern satellites. In this paper microvibrations induced by a cantilevered reaction wheel assembly are modelled and validated against microvibration test results. The disturbance model is developed using energy method. A microvibration measurement platform is designed to measure its disturbances. Disturbance test results are analyzed in detail. The peculiar dynamic characteristics such as nonlinearity and high damping of harmonic responses in the test results are discussed. Estimations of damping values used in the disturbance model are introduced. A new method developed to model harmonic excitations is discussed. Furthermore, novel methods to identify harmonics and extract model parameters from test results are presented. The empirical modeling method developed for broadband noise excitations are also introduced and validated.

scholarly journals Development and validation of automated computer aided-risk score for predicting the risk of in-hospital mortality using first electronically recorded blood test results and vital signs for COVID-19 hospital admissions: a retrospective development and validation study

2020 ◽  
Author(s):  
Muhammad Faisal ◽  
Mohammed A Mohammed ◽  
Donald Richardson ◽  
Massimo Fiori ◽  
Kevin Beatson
Keyword(s):  
Hospital Mortality ◽  
Blood Test ◽  
Model Development ◽  
Vital Signs ◽  
Validation Dataset ◽  
Test Results ◽  
Medical Admission ◽  
Emergency Medical ◽  
Computer Aided ◽  
Development And Validation

AbstractObjectivesThere are no established mortality risk equations specifically for unplanned emergency medical admissions which include patients with the novel coronavirus SARS-19 (COVID-19). We aim to develop and validate a computer-aided risk score (CARMc19) for predicting mortality risk by combining COVID-19 status, the first electronically recorded blood test results and latest version of the National Early Warning Score (NEWS2).DesignLogistic regression model development and validation study using a cohort of unplanned emergency medical admissions to hospital.SettingYork Hospital (YH) as model development dataset and Scarborough Hospital (SH) as model validation dataset.ParticipantsUnplanned adult medical admissions discharged over three months (11 March 2020 to 13 June 2020) from two hospitals (YH for model development; SH for external model validation) based on admission NEWS2 electronically recorded within ±24 hours and/or blood test results within ±96 hours of admission. We used logistic regression modelling to predict the risk of in-hospital mortality using two models: 1) CARMc19_N: age + sex + NEWS2 including subcomponents + COVID19; 2) CARMc19_NB: CARMc19_N in conjunction with seven blood test results and acute kidney injury score. Model performance was evaluated according to discrimination (c-statistic), calibration (graphically), and clinical usefulness at NEWS2 thresholds of 4+, 5+, 6+.ResultsThe risk of in-hospital mortality following emergency medical admission was similar in development and validation datasets (8.4% vs 8.2%). The c-statistics for predicting mortality for Model CARMc19_NB is better than CARMc19_N in the validation dataset (CARMc19_NB = 0.88 (95%CI 0.86 to 0.90) vs CARMc19_N = 0.86 (95%CI 0.83 to 0.88)). Both models had good internal and external calibration (CARMc19_NB: 1.01 (95%CI 0.88 vs 1.14) & CARMc19_N: 0.95 (95%CI 0.83 to 1.06)). At all NEWS2 thresholds (4+, 5+, 6+) model CARMc19_NB had better sensitivity and similar specificity.ConclusionsWe have developed a validated CARMc19 score with good performance characteristics for predicting the risk of in-hospital mortality following an emergency medical admission using the patient’s first, electronically recorded vital signs and blood tests results. Since the CARMc19 scores place no additional data collection burden on clinicians and is readily automated, it may now be carefully introduced and evaluated in hospitals with sufficient informatics infrastructure.

Thermal Model and Experimental Validation of the Re-Design of High Temperature Superconducting Leads for X-Ray Spectrometer Applications

2004 ◽  
Author(s):  
Vi´ctor L. Marrero ◽  
John S. Panek ◽  
Sandra Couti´n
Keyword(s):  
Heat Load ◽  
Thermal Model ◽  
Model Development ◽  
Research Work ◽  
Thermal Conductance ◽  
Test Results ◽  
X Ray ◽  
Adiabatic Demagnetization ◽  
Development And Validation ◽  
Superconducting Current

The thermal modeling for the redesign of an X-Ray Spectrometer (XRS) High Tc Superconducting Current (HTSC) lead assembly was the objective of this research work. In order to achieve a 2.5-year lifetime for the XRS, low thermal conductance leads were redesign to supply electric current to the Adiabatic Demagnetization Refrigerator (ADR) magnet and the cryostat valve motors with a minimal heat load. This research work consisted of the development of a mockup of the HTSC lead assembly and a computer model to simulate the thermal behavior of the system. Experimental data of the mockup was used to validate the thermal model, which was employed in the optimization of the design to minimize the heat load. The thermal model development and validation of the new HTSC lead design is discussed, with emphasis on thermal test results.

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