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...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2025-10-01
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| Serier: | Machines |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2075-1702/13/10/943 |
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