Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management

March 20, 2024 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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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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