A research dataset developed by Nathália Vieira Barbosa to evaluate insulating vegetable oil quality using FTIR spectroscopy and multivariate control charts. Samples were subjected to electrical, thermal, and material contact stresses to simulate transformer operating conditions. The results demonstrate a method for identifying oil samples that fail to meet regulatory standards for insulating fluids.
Use Cases
- Developing quality monitoring models based on FTIR spectral data mentioned in the description
- Training anomaly detection algorithms for transformer oil based on simulated degradation data
- Building chemometric models to predict oxidation levels from spectroscopic measurements
- Creating multivariate control charts for real-time fluid quality assessment
Strengths
- Method developed using samples subjected to realistic electrical and thermal stress
- Open Access license allows for broad reuse and analysis
Limitations
- Row count and dataset size are unknown, limiting suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
Provenance
- Source
- Nathália Vieira Barbosa
- Collection Method
- Laboratory experiments simulating transformer internal environment