Resultados de investigación

Two different tool geometries were used, R204.6D and BH04.5D from toolmaker Kendu and the tests were carried out on a Lagun vertical machining centre. The material used was 35CrMo4LowS. A kistler rotational dynamometer was installed to acquire the feed force and cutting torque. Along with these signals were acquired other signals provided by the machine. For each of the tools used during the tests, 5 holes were drilled. For each tool geometry the cutting conditions were fixed while the parameter that was modified was the tool wear. Totally, the data consists of 90 csv files, each of them corresponds to a hole made at a certain level of tool wear. The signals that can be found in these files are the internal signals of the machine, the thrust force and the cutting torque. All signals were acquired at -Fs= 250 Hz; T=4 ms-.

Data generated by mean of simulation in Motorcad software. Specialized formats or other abbreviations used: xlsx

Statistical information obtained from EUROSTAT. Excel files

Conjunto de datos creado en el marco del programa "Conectar Europa" de la Unión Europea, proyecto VARIOT TENtec n. 28263632. Desarrollado por el grupo de Sistemas Inteligentes para Sistemas Industriales apoyado por el Departamento de Educación, Política Lingüística y Cultura del Gobierno Vasco. Este conjunto de datos incluye el tráfico de red del dispositivo IoT Firewalla Gold y diferentes características bajo un modo de operación comprometido.

This database contains the results from questionnaires gathered during user testing of the SELFEX solution, a training system utilizing motion-tracking gloves, augmented reality (AR), and screen-based interfaces. Participants were asked to complete paper- and tablet-based questionnaires after interacting with both AR and screen-guided training environments. The data provided allows for a comparative analysis between the two training methods (AR vs. screen) and assesses the suitability of the MAGOS hand-tracking gloves for this application. Additionally, it facilitates the exploration of correlations between various user experience factors, such as ease of use, usefulness, satisfaction, and ease of learning. The folder is divided into two types of files: - PDF files: These contain the three questionnaires administered during testing. - "dataset.xlsx": This file includes the questionnaire results. Within the Excel file, the data is organized across three sheets: - "Results with AR glasses": Displays data from the experiment conducted using Hololens 2 AR glasses. Participants are anonymized and coded by gender (e.g., M01 for the first male participant). - "Results without AR glasses": Shows data from the experiment conducted with five participants using a TV screen instead of Hololens 2 to follow the assembly training instructions. - "Demographic data": Contains demographic information related to the participants. This dataset enables comprehensive evaluation and comparison of the training methods and user experiences.

Conjunto de datos creado en el marco del programa "Conectar Europa" de la Unión Europea, proyecto VARIOT TENtec n. 28263632. Desarrollado por el grupo de Sistemas Inteligentes para Sistemas Industriales apoyado por el Departamento de Educación, Política Lingüística y Cultura del Gobierno Vasco. Este conjunto de datos incluye el tráfico de red del dispositivo Firewalla Gold y diferentes características bajo un modo de operación normal.

Dataset related to "An interpretable operational state classification framework for elevators through Convolutional Neural Networks" article. Can be intrepreted by any software able to read csv data. NOTE: Training and Test splits are separated in the dataset. Training dataset lines: (1-847002) Test dataset lines: (847004-1064093)