Encoding Multivariate Time Series of Gas Turbine Data as Images to Improve Fault Detection Reliability
The monitoring and diagnostics of energy equipment aim to detect anomalies in time series data in order to support predictive maintenance and avoid unplanned shutdowns. Thus, the paper proposes a novel methodology that utilizes sequence-to-image transformation methods to feed Convolutional Neural Ne...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-10-01
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| Rangatū: | Machines |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2075-1702/13/10/943 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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