A method for fault diagnosis in evolving environment using unlabeled data
- DOI
- 10.1177/1748006x20946529
- Published
- 2021-02
- Container
- Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/1748006x20946529,
title = {A method for fault diagnosis in evolving environment using unlabeled data},
author = {Yang Hu and Piero Baraldi and Francesco Di Maio and Jie Liu and Enrico Zio},
year = {2021},
journal = {Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability},
doi = {10.1177/1748006x20946529},
url = {https://doi.org/10.1177/1748006x20946529}
}RIS
TY - JOUR TI - A method for fault diagnosis in evolving environment using unlabeled data AU - Yang Hu AU - Piero Baraldi AU - Francesco Di Maio AU - Jie Liu AU - Enrico Zio PY - 2021 JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability DO - 10.1177/1748006x20946529 UR - https://doi.org/10.1177/1748006x20946529 ER -
APA
Hu, Y., Baraldi, P., Maio, F. D., Liu, J., & Zio, E. (2021). A method for fault diagnosis in evolving environment using unlabeled data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. https://doi.org/10.1177/1748006x20946529
Source records
- hal · retrieved 2026-09-26T10:32:49.542Z