Potential of a Machine Vision-Based Combustion Monitoring System in Optimizing Step-Grate Biomass Combustion

Garami, A., Tóth, P., Kókai, P.

DOI: 10.5071/25theubce2017-ico.12.3
Published: 2017
Container: Not recorded
Publisher: ETA-Florence Renewable Energies
Open access: no

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Cite this work

BibTeX

@article{allodium:10.5071/25theubce2017-ico.12.3,
  title = {Potential of a Machine Vision-Based Combustion Monitoring System in Optimizing Step-Grate Biomass Combustion},
  author = {Garami, A. and Tóth, P. and Kókai, P.},
  year = {2017},
  doi = {10.5071/25theubce2017-ico.12.3},
  url = {https://doi.org/10.5071/25theubce2017-ico.12.3}
}

RIS

TY  - JOUR
TI  - Potential of a Machine Vision-Based Combustion Monitoring System in Optimizing Step-Grate Biomass Combustion
AU  - Garami, A.
AU  - Tóth, P.
AU  - Kókai, P.
PY  - 2017
DO  - 10.5071/25theubce2017-ico.12.3
UR  - https://doi.org/10.5071/25theubce2017-ico.12.3
ER  -

APA

A., G., P., T., & P., K. (2017). Potential of a Machine Vision-Based Combustion Monitoring System in Optimizing Step-Grate Biomass Combustion. https://doi.org/10.5071/25theubce2017-ico.12.3

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datacite · retrieved 2026-09-25T08:16:12.722Z