Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management
Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber

TL;DR
This paper reviews publicly available degradation data sets crucial for developing and evaluating prognostics and health management methods, highlighting their importance in understanding system failure and health trends.
Contribution
It offers a comprehensive overview of existing publicly accessible degradation data sets used in prognostics and health management research.
Findings
Catalogs various publicly available degradation data sets
Highlights the importance of data diversity for robust prognostics
Identifies gaps and future needs in degradation data availability
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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Taxonomy
TopicsFault Detection and Control Systems · Reliability and Maintenance Optimization · Risk and Safety Analysis
