Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization.

Miao D, Feng K, Xiao Y, Li Z, Gao J.

Open source

DOI
10.3390/s24030941
Published
2024-01-31
Container
Sensors (Basel)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s24030941,
  title = {Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization.},
  author = {Miao D and  Feng K and  Xiao Y and  Li Z and  Gao J.},
  year = {2024},
  journal = {Sensors (Basel)},
  doi = {10.3390/s24030941},
  url = {https://doi.org/10.3390/s24030941}
}

RIS

TY  - JOUR
TI  - Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization.
AU  - Miao D
AU  -  Feng K
AU  -  Xiao Y
AU  -  Li Z
AU  -  Gao J.
PY  - 2024
JO  - Sensors (Basel)
DO  - 10.3390/s24030941
UR  - https://doi.org/10.3390/s24030941
ER  - 

APA

D, M., K, F., Y, X., Z, L., & J., G. (2024). Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization.. Sensors (Basel). https://doi.org/10.3390/s24030941

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