Online fault diagnosis for sucker rod pumping well by optimized density peak clustering.

Han Y, Li K, Ge F, Wang Y, Xu W

DOI: 10.1016/j.isatra.2021.03.022
Published: 2022 Jan
Container: ISA transactions
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.isatra.2021.03.022,
  title = {Online fault diagnosis for sucker rod pumping well by optimized density peak clustering.},
  author = {Han Y and Li K and Ge F and Wang Y and Xu W},
  year = {2022},
  journal = {ISA transactions},
  doi = {10.1016/j.isatra.2021.03.022},
  url = {https://doi.org/10.1016/j.isatra.2021.03.022}
}

RIS

TY  - JOUR
TI  - Online fault diagnosis for sucker rod pumping well by optimized density peak clustering.
AU  - Han Y
AU  - Li K
AU  - Ge F
AU  - Wang Y
AU  - Xu W
PY  - 2022
JO  - ISA transactions
DO  - 10.1016/j.isatra.2021.03.022
UR  - https://doi.org/10.1016/j.isatra.2021.03.022
ER  -

APA

Y, H., K, L., F, G., Y, W., & W, X. (2022). Online fault diagnosis for sucker rod pumping well by optimized density peak clustering.. ISA transactions. https://doi.org/10.1016/j.isatra.2021.03.022

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pubmed · retrieved 2026-11-10T11:34:42.737Z