MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach

MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach

Predictive Maintenance (PdM) is one of the most important applications of advanced data science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models, sufficient data, such as condition monitoring and maintenance data of the industrial application, are required. However,...

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Bibliographic Details
Main Authors: Gashi, M. (Author), Gursch, H. (Author), Hinterbichler, H. (Author), Lindstaedt, S. (Author), Pichler, S. (Author), Thalmann, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
change point detection
Change point detection
Condition monitoring
Condition-monitoring data
Data set
event detection
Events detection
Heuristic methods
Linear time
Maintenance
maintenance event detection
Maintenance event detection
Multivariate time series
predictive maintenance
Predictive maintenance
Time series
Time series analysis
Welding
welding industry
Welding industry
Windows operating system
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