Experimental Dataset for Predicting Temperature Rise in Low-Voltage Switchgear
收藏IEEE2026-04-17 收录
下载链接:
https://ieee-dataport.org/documents/experimental-dataset-predicting-temperature-rise-low-voltage-switchgear
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains experimental data obtained from a low-voltage switchgear prototype designed according to IEC 61439-1 for the analysis of thermal behavior under different operational configurations. Twelve experiments were conducted by varying panel orientation, ventilation conditions (natural, forced, or none), and busbar surface treatment (painted or unpainted), while maintaining a constant current of 800 A.Temperature measurements were acquired using calibrated type-K thermocouples installed at critical points such as busbars and connections, with continuous logging by a PLC at one-minute intervals. Each test represents a distinct configuration, providing comprehensive information on temperature rise and heat exchange characteristics.The dataset is organized into three processing levels: (1) Raw measurement data (minute-by-minute temperature readings, 19 CSV files), (2) Summarized test results (steady-state temperature rise and effective heat transfer coefficients), and (3) Processed input data (structured variables for predictive modeling).This resource supports research on thermal management, component design optimization, and validation of computational or statistical models for low-voltage electrical panels. It serves as the experimental foundation for future studies.
提供机构:
Jordan Passinato Sausen; Paulo Sérgio Sausen; Adalberto Jose Rossa; Alesandre Alves; Airam Sausen; Mauricio de Campos



