Early Failure Detection in Power Transformers

• 作者: Erik Leandro Bonaldi Felipe dos Santos Moreira Germano Lambert-Torres Giscard F. C. Veloso Ismael Noronha José Nielze Caminha Levy Ely de Lacerda de Oliveira Luiz Eduardo Borges da Silva
• 来源期刊: 电力能源(英文)
• 学科: 医学
• 关键词: TRANSFORMERS MEASURING System SIGNAL PROCESSING PARTIAL Discharges PREDICTIVE Maintenance
• 年，卷（期）: 2013,（5）
• 页码范围: 30-40
• 页数: 11页
• 分类号: R73

摘要

This paper presents equipment for early detection of failures in the insulation of power transformers, checking existing partial discharges inside. The equipment involves hardware, control and signal acquisition software, and signal analysis software. This equipment has a set of algorithms that were made with intelligent extraction techniques and interpretation of data. The degradation diagnosis of the equipment insulation is based on digital signal processing algorithms for extraction of features and also in artificial intelligence algorithms that allies a mining involving all the data linked to the equipment throughout its operating life can make an assessment of the operating conditions of the equipment and suggest interventions and provide an estimated time so that they have to be made.