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Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management (2403.13694v2)
Published 20 Mar 2024 in cs.DB and eess.SP
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.
- Enrico Zio. Prognostics and health management (phm): Where are we and where do we (need to) go in theory and practice. Reliability Engineering & System Safety, 218:108119, 2022.
- Machinery health prognostics: A systematic review from data acquisition to rul prediction. Mechanical Systems and Signal Processing, 104:799–834, 2018.
- Prognostics and health management for maintenance practitioners - review, implementation and tools evaluation. International Journal of Prognostics and Health Management, 8(3), 2017.
- Creation of publicly available data sets for prognostics and diagnostics addressing data scenarios relevant to industrial applications. International Journal of Prognostics and Health Management, 12(2), 2021.
- Review of phm data competitions from 2008 to 2017. Annual Conference of the PHM Society, 10(1), 2018.
- Failure prognosis and applications—a survey of recent literature. IEEE Transactions on Reliability, 70(2):728–748, 2021.
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