A DATASET AT A GLANCE...

Synchronous generators are known for their operational stability, efficiency and compatibility to work with renewable systems, making them an essential unit in almost all the modern power systems. However, these generators are also fault-prone due to overheating, winding short circuits, sudden load changes, component wear or misalignment and many other factors. A faulty generator hinders the incessant and proper working of its applications, like smart grids, industrial automation, renewable systems, aerospace and automobile systems, leading to complete blackout or expensive system recovery at times!!! Thus, intelligent fault-monitoring systems become extremely necessary and there is a dataset, which could aid the researchers willing to contribute to fault-free synchronous generators or their intelligent monitoring. The dataset is accessible from the GitHub repository (https://github.com/InnovaPower/MitDev-Eletrica) and it contains the voltage and the current signals acquired from both healthy and fault-prone synchronous motors, being operated under fixed and variable-speeds. The dataset has been created with an intention to allow the researchers apply data processing tools or compare novel data-driven algorithms and to use it in engineering lectures for understanding electrical machines or associated methods. The dataset actually owns the electrical signals acquired at internal faults like, the short circuits between winding turns or short circuits between same phase or different phase windings. For a complete description of this dataset, please refer to the following article.

• Rafael Noboro Tominaga, Luan Andrade Sousa, Rodolfo Varraschim Rocha, Renato Machado Monaro, Sérgio Luciano Ávila, Maurício Barbosa de Camargo Salles and Bruno Souza Carmo, “Electrical signals dataset from fixed-speed and variable-speed synchronous generators under healthy and faulty conditions”, Data in Brief, Elsevier, vol. 57, December 2024, doi: https://doi.org/10.1016/j.dib.2024.111018

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