VisPro: a prognostic SqueezeNet and non-stationary Gaussian process approach for remaining useful life prediction with uncertainty quantification
Author:
Funder
National Aeronautics and Space Administration
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07316-z.pdf
Reference41 articles.
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4. Lin Y, Li X, Hu Y (2018) Deep diagnostics and prognostics: an integrated hierarchical learning framework in PHM applications. Appl Soft Comput 72:555–564
5. Adams ML (2000) Rotating machinery vibration: from analysis to troubleshooting (Vol. 131). CRC Press
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