SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
SND-ID: 2024-34. Version: 1. DOI: https://doi.org/10.58141/1w9m-yz81
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Creator/Principal investigator(s)
Tony Lindgren
- Stockholm University, Department of Computer and Systems Sciences, DSV
Olof Steinert - Scania CV AB, Strategic Product Planning and Advanced Analytics
Oskar Andersson Reyna - Scania CV AB, Connected Intelligence
Zahra Kharazian
- Stockholm University, Department of Computer and Systems Sciences, DSV
Sindri Magnússon
- Stockholm University, Department of Computer and Systems Sciences, DSV
Research principal
Description
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.
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Research area
Computer and information science (Standard för svensk indelning av forskningsämnen 2011)
Computer science (Standard för svensk indelning av forskningsämnen 2011)
Other computer and information science (Standard för svensk indelning av forskningsämnen 2011)
Communication systems (Standard för svensk indelning av forskningsämnen 2011)
Signal processing (Standard för svensk indelning av forskningsämnen 2011)
Computer systems (Standard för svensk indelning av forskningsämnen 2011)
Vehicle engineering (Standard för svensk indelning av forskningsämnen 2011)
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna. (2024). SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance. arXiv:2401.15199.
DOI:
https://doi.org/10.48550/arXiv.2401.15199
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