Integrating Mathematical Modeling and Deep Learning for Uncertainty-Aware Fault Diagnosis in Industrial Rotating Machinery

Primawati Primawati, Ferra Yanuar, Dodi Devianto, Remon Lapisa, Fazrol Rozi, Arda Yunianta

Open source

DOI: 10.37385/a6wnmz27
Published: 2026-06-15
Container: Journal of Applied Engineering and Technological Science (JAETS)
Publisher: Yayasan Riset dan Pengembangan Intelektual
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.37385/a6wnmz27,
  title = {Integrating Mathematical Modeling and Deep Learning for Uncertainty-Aware Fault Diagnosis in Industrial Rotating Machinery},
  author = {Primawati Primawati and Ferra Yanuar and Dodi Devianto and Remon Lapisa and Fazrol Rozi and Arda Yunianta},
  year = {2026},
  journal = {Journal of Applied Engineering and Technological Science (JAETS)},
  doi = {10.37385/a6wnmz27},
  url = {https://doi.org/10.37385/a6wnmz27}
}

RIS

TY  - JOUR
TI  - Integrating Mathematical Modeling and Deep Learning for Uncertainty-Aware Fault Diagnosis in Industrial Rotating Machinery
AU  - Primawati Primawati
AU  - Ferra Yanuar
AU  - Dodi Devianto
AU  - Remon Lapisa
AU  - Fazrol Rozi
AU  - Arda Yunianta
PY  - 2026
JO  - Journal of Applied Engineering and Technological Science (JAETS)
DO  - 10.37385/a6wnmz27
UR  - https://doi.org/10.37385/a6wnmz27
ER  -

APA

Primawati, P., Yanuar, F., Devianto, D., Lapisa, R., Rozi, F., & Yunianta, A. (2026). Integrating Mathematical Modeling and Deep Learning for Uncertainty-Aware Fault Diagnosis in Industrial Rotating Machinery. Journal of Applied Engineering and Technological Science (JAETS). https://doi.org/10.37385/a6wnmz27

Source records

crossref · retrieved 2026-11-10T18:10:14.505Z