2026-04-28T18:04:23Zhttps://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

Miguel Villalba, Félix de 963 600 0009-0000-9607-110X Velasco Pérez, Núria 964 600 0009-0008-2988-757X Movilla Alonso, Félix 85ab7940-d5af-4a44-ac41-6fb1f9293571 600 Cambra Baseca, Carlos 743 600 0000-0001-5567-9194 Urda Muñoz, Daniel 753 600 0000-0003-2662-798X Herrero Cosío, Álvaro 283 600 0000-0002-2444-5384 Alonso Presa, Martín e1b41048-c5bd-4253-8756-fc4884988829 500 Huidobro Fernández, Fernando bd75bb43-f6a3-4cde-85d9-b89b8153f732 500 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 2025-05-22T11:19:07Z 2025-05-22T11:19:07Z 2025-05-19 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 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). text/plain application/zip text/csv eng Universidad de Burgos Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Cutting fluid Taladrina Time series Sensors Imputation Data analysis Predictive maintenance Anomaly detection Lubricantes Proceso de datos Lubrication and lubricants Electronic data processing Time Series Sensor Data for Cutting Fluid Analysis from the SmarTaladrine Project dataset info:eu-repo/semantics/acceptedVersion 2025 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/10492/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/10492/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL readme.txt readme.txt text/plain 7555 https://riubu.ubu.es/bitstream/10259/10492/7/readme.txt 402deff0b265e224f0e6fbfeb391b6a2 MD5 7 Dataset SmarTaladrine.zip Dataset SmarTaladrine.zip application/zip 1157525 https://riubu.ubu.es/bitstream/10259/10492/8/Dataset%20SmarTaladrine.zip 2baaaa7a3b0c0d5cb9e4c538887521ab MD5 8 10259/10492 oai:riubu.ubu.es:10259/10492 2025-08-22 11:28:51.558 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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