Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling.

Yu H, Chen C, Lu N, Wang C

DOI: 10.3390/s21248373
Published: 2021 Dec 15
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s21248373,
  title = {Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling.},
  author = {Yu H and Chen C and Lu N and Wang C},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21248373},
  url = {https://doi.org/10.3390/s21248373}
}

RIS

TY  - JOUR
TI  - Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling.
AU  - Yu H
AU  - Chen C
AU  - Lu N
AU  - Wang C
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21248373
UR  - https://doi.org/10.3390/s21248373
ER  -

APA

H, Y., C, C., N, L., & C, W. (2021). Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21248373

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pubmed · retrieved 2026-09-26T08:33:22.990Z