Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review
Predictive maintenance (PdM) uses statistical and machine learning methods to detect and
predict the onset of faults. PdM is often used in industrial IoT settings in the energy sector …
predict the onset of faults. PdM is often used in industrial IoT settings in the energy sector …
Discrimination of internal faults and other transients in an interconnected system with power transformers and phase angle regulators
PK Bera, C Isik, V Kumar - IEEE systems journal, 2020 - ieeexplore.ieee.org
This article solves the problem of accurate detection of internal faults and classification of
transients in a five-bus interconnected system for phase angle regulators (PARs) and power …
transients in a five-bus interconnected system for phase angle regulators (PARs) and power …
Power Transformer Fault Classification Based On Cumulative Distribution Transformation Utilizing Singular Value Decomposition
ANM Noman, MMH Sohan… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Several fault classification-based protection methods may occasionally malfunction due to a
variety of undesirable phenomena that occur in the transformer. It is crucial to differentiate …
variety of undesirable phenomena that occur in the transformer. It is crucial to differentiate …
A ChatGPT-like Solution for Power Transformer Condition Monitoring
J Accurso, R Mendy, A Torres… - … Conference on Machine …, 2023 - ieeexplore.ieee.org
This paper explores the application of large-scale foundation models (LSF-Models) for the
improved prognostic management of smart grid power transformers. One of the foun …
improved prognostic management of smart grid power transformers. One of the foun …