September 10, 2025SensorsOpen Access

Smart Monitoring of Power Transformers in Substation 4.0: Multi-Sensor Integration and Machine Learning Approach

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The proposed model achieved perfect classification metrics on simulated datasets, showcasing its effectiveness.
A Random Forest classifier was trained on data sets to automate fault diagnosis in power transformers.
Multi-sensor integration within a SCADA system facilitates real-time data visualization and management.
This framework enhances monitoring capabilities, suggesting a strong potential for anomaly detection in operational settings.

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Integrated multi-sensor framework enhances fault diagnosis in power transformers, indicating improved reliability.

Duz et al. (2025) studied this question.

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