Deep Scattering Spectrum Germaneness for Fault Detection and Diagnosis for Component-Level Prognostics and Health Management (PHM)

Ali Rohan

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DOI: 10.3390/s22239064
Published: 2022-11-22
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s22239064,
  title = {Deep Scattering Spectrum Germaneness for Fault Detection and Diagnosis for Component-Level Prognostics and Health Management (PHM)},
  author = {Ali Rohan},
  year = {2022},
  journal = {Sensors},
  doi = {10.3390/s22239064},
  url = {https://doi.org/10.3390/s22239064}
}

RIS

TY  - JOUR
TI  - Deep Scattering Spectrum Germaneness for Fault Detection and Diagnosis for Component-Level Prognostics and Health Management (PHM)
AU  - Ali Rohan
PY  - 2022
JO  - Sensors
DO  - 10.3390/s22239064
UR  - https://doi.org/10.3390/s22239064
ER  -

APA

Rohan, A. (2022). Deep Scattering Spectrum Germaneness for Fault Detection and Diagnosis for Component-Level Prognostics and Health Management (PHM). Sensors. https://doi.org/10.3390/s22239064

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crossref · retrieved 2026-09-27T07:42:28.273Z