Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/10492
Título
Time Series Sensor Data for Cutting Fluid Analysis from the SmarTaladrine Project
Autor
Editorial
Universidad de Burgos
Fecha de publicación
2025-05-19
Resumen
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.
Palabras clave
Cutting fluid
Taladrina
Time series
Sensors
Imputation
Data analysis
Predictive maintenance
Anomaly detection
Materia
Lubricantes
Lubrication and lubricants
Proceso de datos
Electronic data processing
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