用数据科学改进电力变压器维护

Samuel Lessinger, R. D. de Figueiredo, L. R. Prade, A. da Rosa Abaide
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引用次数: 0

摘要

电力系统的不断扩大,在安全性和可用性方面要求越来越严格的操作标准。在这种情况下,电力变压器的维护对于整个系统的安全高效运行至关重要。必须分析运行数据以验证变压器的正确运行。这项工作将数据科学方法应用于实际变压器中,以提取工作热剖面和换相水龙头特性。这种分析有助于制定预测性维护计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Power Transformers Maintenance with Data Science
The continuous expansion of the electrical power system demands increasingly strict operating standards in terms of safety and availability. In this scenario, the maintenance of power transformers becomes essential for the safe and efficient operation of the entire system. Operating data must be analyzed to verify the correct functioning of the transformer. This work applies a data science methodology in a real transformer to extract operating thermal profiles and commutations Taps characteristic. This analysis helps in decisions about predictive maintenance planning.
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