2026-04-28T21:25:11Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/104922025-08-22T09:28:51Zcom_10259_3847com_10259_5086com_10259_2604col_10259_8557col_10259_5684

Time Series Sensor Data for Cutting Fluid Analysis from the SmarTaladrine Project Miguel Villalba, Félix de Velasco Pérez, Núria Movilla Alonso, Félix Cambra Baseca, Carlos Urda Muñoz, Daniel Herrero Cosío, Álvaro Alonso Presa, Martín Huidobro Fernández, Fernando Cutting fluid Taladrina Time series Sensors Imputation Data analysis Predictive maintenance Anomaly detection Lubricantes Proceso de datos Lubrication and lubricants Electronic data processing This dataset provides multivariate time series data from sensors monitoring a cutting fluid (taladrina) test tank, collected as part of the "SmarTaladrine" project. The primary monitored variables are pH, Temperature, Concentration, and Conductivity. The data spans from December 17, 2024, to April 1, 2025. The dataset includes a raw, preprocessed version of these four variables, which contains missing values as originally observed. Additionally, for each of the four primary variables, separate files are provided showcasing the results of imputing these missing values using five different methods: a pre-trained MOMENT model, a fine-tuned MOMENT model, an LSTM-based Variational Autoencoder (LSTM-VAE), K-Nearest Neighbors (KNN), and a hybrid KNN-Clustering method (HybridKCL). This dataset is intended for developing and evaluating models for cutting fluid analysis, anomaly detection, predictive maintenance, and for benchmarking time series imputation techniques within industrial machining contexts. 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). 2025-05-22T11:19:07Z 2025-05-22T11:19:07Z 2025-05-19 dataset info:eu-repo/semantics/acceptedVersion Miguel, Félix de, Velasco-Pérez, N., Movilla Alonso, F., Cambra, C., Urda Muñoz, D., Herrero, A., Alonso Presa, M., & Huidobro Fernandez, F. (2025). Time Series Sensor Data for Cutting Fluid Analysis from the SmarTaladrine Project [Data set]. Universidad de Burgos. https://doi.org/10.71486/W044-C137 http://hdl.handle.net/10259/10492 10.71486/w044-c137 eng Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess text/plain application/zip text/csv north=42.36955250278478; west=-3.7264312169778253; name=HYPATIA GNC ACCESORIOS S.A. C. Condado de Treviño, 53, 09001 Burgos, Spain start=2024-12-17; end=2025-04-01 Universidad de Burgos