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13 results for “vibration analysis”
Dataset and Data analysis "Multimodal vibrational studies of drug uptake in vitro: Is the whole greater than the sum of their parts?"
<p>Data Analysis for the publication 10.1002/jbio.202000264.</p> <p>It is divided in three different folders describing three different part of the data analysis:</p> <p><strong>A. DATA TREATMENT RAMAN (Folder 1)</strong></p> <p><em>1. Import data using the Import_Raman script.<br> 2. Plot Spectra and integrate DOX band<br> Figure 1A<br> Figure 1B<br> 3. PCA<br> Figure 1D<br> Figure 1C<br> SM 1<br> 4. PLS<br> Figure 1F<br> Figure 1E</em></p> <p><strong>B. ANALYSIS OF IR DATA AND MULTIMODAL IR-RAMAN OF DOX UPTAKE (Folder 2)</strong></p> <p><em>1 Load Data IR<br> 2 Exploratory Analysis IR<br> Figure 2A<br> 3 PCA <br> SM 2<br> 4. Partial Least Squares vs time<br> Figure 2C<br> Figure 2B<br> 5. Partial Least Squares vs Raman Signal<br> Figure 2E<br> Figure 2D<br> 6. Make Averages and clean up Data for DATA Fusion<br> IR<br> Raman<br> 7. 2DCORR<br> Figure 3B<br> 8. MCR_ALS WITH DATA FUSION<br> Fitting of the concentration of Raman using the method in [9].<br> MCR-ALS<br> Figures 4 A, B and C</em></p> <p> </p> <p><strong>C. SIMULATION (Folder 3)</strong></p> <p><em>1. Load Raman DATA<br> 2. Simulate Raman DAta<br> 3. Load and simulate IR Data<br> 4. 2D corr<br> Figure 3A</em></p> <p> </p> <p>. Each folder contains a .mlx with the data analysis performed. Figures numbering corresponds to the one found in the article.</p>
External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations (Data analysis)
<p>This record contains a docker container image of the data evaluation shown in the publication "External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations". The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Eval_protein_D2O.ipynb'.</p> <p>To run the container (requires docker):</p> <p>1.download 'd2o_vcd.tar'</p> <p>2. in the command line, execute 'docker load -i d2o_vcd.tar'. This will return something like 'Loaded image: <image_name>' with image_name probably being "drhermann/vcd_d2o_00:trial_03"</p> <p>3. then 'docker run -p 8889:8889 <image_name>' replacing the brackets with the actual name of the image, such as drhermann/vcd_d2o_00:trial_03</p> <p>4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation.</p>
RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique
<p>Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.</p>
Dataset for the article "Assessing the Partial Hessian Approximation in QM/MM-based Vibrational Analysis"
<p>This dataset contains the raw data and Jupyter notebooks used in the article "Assessing the Partial Hessian Approximation in QM/MM-based Vibrational Analysis."</p>
Linearly and Nonlinearly Implicit Schemes for Energy-Stable Simulation of String Vibrations with Collisions: Refinement, Analysis, and Comparison
<p>Sound examples accompanying the manuscript submitted to the Journal of Sound and Vibration</p>
Vibration analysis metrics of a ball bearing during different operational states
<p>This labeled dataset is provided in the form of a CSV file and contains vibration analysis metrics (v-RMS, a-RMS, a-Peak, Temperature, Crest Factor) of a 6204 2RS ball bearing by the use of an IFM VVB001 vibration sensor and measurements were captured every two minutes by the sensor device.<br> An experimental assembly was set up comprised by a 0.75kW - 1450rpm Bonfiglioli BN80B4 FD motor with an i=80 reduction gear, a coupler and an axle with the ball bearing mounted on the latter for the purpose of conducting experiments based on three operational states of the bearing in regard to the level of grease applied.</p> <p>Attribute description as per the sensor’s manual and operation instructions:</p> <ul> <li>The <strong>v-RMS</strong> (effective value of the vibration velocity) measures the total load of a rotating machine. The most frequent types of overload (unbalance, alignment errors, etc.) are reflected in the v-RMS. An increased load can damage the machine in the long term (fatigue, fatigue strength) or, in extreme cases, destroy it within a short time. It is expressed in m/s.</li> <li>The <strong>a-RMS </strong>(effective value of the acceleration) detects mechanical contact of machine components. This contact typically occurs in case of wear (faulty bearing, worn out toothed wheels, etc.) or problems with lubricants (contaminated grease, water in oil, etc.). It is expressed in m/s<sup>2</sup>.</li> <li>The <strong>a-Peak</strong> monitors the maximum value of the acceleration. Shocks in the acceleration can occur once or periodically, as in a crash, for example in the event of bearing damage. a-Peak is a measure for the forces occurring on the machine. It is expressed in m/s<sup>2</sup>.</li> <li>The <strong>Crest </strong>(or crest factor) is a described characteristic value of the signal analysis. It is defined as the ratio of the maximum value to the effective value (peak/RMS). In condition monitoring the characteristic value is used for the evaluation of the bearing condition. The high-frequency signals with a short pulse duration of a bearing damage generate higher peak values in relation to the effective value. This relation can be read from the crest factor.</li> <li>The <strong>Temperature </strong>attribute is self explanatory and is expressed in degrees of Celsius.</li> <li>Labels of the <strong>Bearing State</strong> regarding the recorded measurements:<br> 1 - sealed ball bearing with recommended amount of industrial grease<br> 2 - unsealed ball bearing with no amount of grease<br> 3 - unsealed ball bearing with excess amount of grease</li> </ul> <p>This dataset was produced for the purpose of training an Artificial Neural Network model for the task of multi-class classification in the frames of a Predictive Maintenance strategy.</p>
VBL-VA001: Lab-scale vibration analysis dataset
<p>This dataset is a collection of vibration data (x, y, z) from four machine conditions: normal, bearing fault, misalignment, and unbalance. There are 4000 files, each folder contains 1000 CSV files.</p> <p>Specification:</p> <ul> <li>Machine: Panasonic GP –129JXK</li> <li>Sensor: enDAQ LOG-0002-100G-DC-8GB-PC Shock & Vibration Sensor</li> <li>Length: 5 seconds per CSV file</li> <li>Sampling rate: 20 kHz.</li> </ul> <p>Repository for baseline methods: <a href="https://github.com/bagustris/vbl-va001">https://github.com/bagustris/vbl-va001</a>.</p> <p>Refer to our paper for detail: <a href="https://link.springer.com/article/10.1007/s42417-023-00959-9">https://link.springer.com/article/10.1007/s42417-023-00959-9</a></p> <p>The preprint is also available at ArXiv: <a href="https://arxiv.org/abs/2212.14732">https://arxiv.org/abs/2212.1473</a>.</p>
Exploratory Study of the Diagnostic Potential of an Innovative Thoracic Vibration Analysis Technique
ClinicalTrials.gov study NCT06661200. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Bruxism and Temporomandibular Joint Vibrational Analysis Study
ClinicalTrials.gov study NCT07070141. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Free vibration analysis of transmission lines based on the dynamic stiffness method
Open the record for dataset details and reuse information.
Federated learning dataset: A case study of vibration analysis for desktop 3D printers
<p>This dataset contains the acceleration data collected from six low-cost 3D printers (same make and model) air-printing cubes with different printing speeds. This dataset can be used as a case study for federated learning, personalized learning, etc.</p>
Efficiency Analysis of Wireless Vibrating Caller During Surgery
ClinicalTrials.gov study NCT04719520. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis of Balance and Mobility for Parkinson Disease After Whole Body Vibration
ClinicalTrials.gov study NCT04507490. IPD Sharing: NO. Countries: 1. Publications: 0.
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