RT dataset
T1 Time Series Sensor Data for Cutting Fluid Analysis from the SmarTaladrine Project
A1 Miguel Villalba, Félix de
A1 Velasco Pérez, Núria
A1 Movilla Alonso, Félix
A1 Cambra Baseca, Carlos
A1 Urda Muñoz, Daniel
A1 Herrero Cosío, Álvaro
K1 Cutting fluid
K1 Taladrina
K1 Time series
K1 Sensors
K1 Imputation
K1 Data analysis
K1 Predictive maintenance
K1 Anomaly detection
K1 Lubricantes
K1 Lubrication and lubricants
K1 Proceso de datos
K1 Electronic data processing
AB This dataset contains multivariate time series data collected from sensors monitoring a cutting fluid (taladrina) test tank as part of the "SmarTaladrine" project. The monitored variables include pH, Temperature, Concentration, and Conductivity. Data spans from February 27, 2025, to April 1, 2025. A gap in the data between March 14 and March 20, 2025, has been imputed using the MOMENT time series foundation model. The dataset is intended for developing and evaluating models for cutting fluid analysis, anomaly detection, and predictive maintenance within industrial machining operations.
PB Universidad de Burgos
YR 2025
FD 2025-05-19
LK http://hdl.handle.net/10259/10492
UL http://hdl.handle.net/10259/10492
LA eng
NO This work was supported by the project "Solución innovadora, embebida en máquina o auxiliar, para la eco gestión inteligente de taladrinas en operaciones de mecanizado (SmarTaladrine)", funded by the Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia, del Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023, within the framework of the Plan de Recuperación, Transformación y Resiliencia (Spain).
DS Repositorio Institucional de la Universidad de Burgos
RD 25-may-2025