Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management
March 20, 2024 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Managem"
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Authors
Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber
arXiv ID
2403.13694
Category
cs.DB: Databases
Cross-listed
eess.SP
Citations
2
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Central to the efficacy of prognostics and health management methods is the acquisition and analysis of degradation data, which encapsulates the evolving health condition of engineering systems over time. Degradation data serves as a rich source of information, offering invaluable insights into the underlying degradation processes, failure modes, and performance trends of engineering systems. This paper provides an overview of publicly available degradation data sets.
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