2026-10-11 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2024-34/3 2025-04-09 subject:ssif:102 subject:ssif:10201 subject:ssif:10299 subject:ssif:20203 subject:ssif:20205 subject:ssif:20206 subject:ssif:20302 subject:ssif:1 subject:ssif:202 subject:ssif:203 subject:ssif:2 principal:slug:scania-cv-ab

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.5878/bnh5-ka77 SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance https://orcid.org/0000-0001-7713-1381 Olof Steinert Oskar Andersson Reyna https://orcid.org/0000-0002-8430-1606 https://orcid.org/0000-0002-6617-8683 Computer and Information Sciences Data- och informationsvetenskap (datateknik) Computer Sciences Datavetenskap (datalogi) Other Computer and Information Science Annan data- och informationsvetenskap Communication Systems Kommunikationssystem Signal Processing Signalbehandling Computer Systems Datorsystem Vehicle and Aerospace Engineering Farkost och rymdteknik This data is a real-world, multivariate time series dataset collected from an anonymized engine component (called Component X) of a fleet of trucks from SCANIA, Sweden. This dataset includes diverse variables capturing detailed operational data, repair records, and specifications of trucks while maintaining confidentiality by anonymization. It is well-suited for a range of machine learning applications, such as classification, regression, survival analysis, and anomaly detection, particularly when applied to predictive maintenance scenarios. The large population size and variety of features in the format of histograms and numerical counters, along with the inclusion of temporal information, make this real-world dataset unique in the field. The objective of releasing this dataset is to give a broad range of researchers the possibility of working with real-world data from a well-known international company and introduce a standard benchmark to the predictive maintenance field, fostering reproducible research. Datasetet innehåller data från en multivariat tidsserie-studie av en avidentifierad motorkomponent (Component X) i olika lastbilar från Scania AB. Se den engelskspråkiga katalogposten för utförlig information. info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ Scania CV AB Scania CV AB 2025-04-09T14:27:52.347545Z eng