A Hybrid Diagnosis Approach on Transformer’s Insulating Oil

• 作者: Ming-Jong Lin
• 来源期刊: 工程(英文)(1947-3931)
• 学科: 医学
• 关键词: Power TRANSFORMER DIAGNOSIS Dissolved Gas Analysis Total COMBUSTIBLE GASES ANSI/IEEE C57.104 Standard
• 年，卷（期）: gc-eng_2015,（4）
• 页码范围: 203-211
• 页数: 9页
• 分类号: R73

摘要

The immersed-oil power transformer is so vital equipment in power system that maintenance-engineers take more monitor from transformer’s insulating oil to diagnose what is condition of operation. Then the dissolved gas analysis (DGA) is known for an effective technique on detecting incipient faults in oil-immersed power transformers. In this paper, a practical method is presented which consists of the Roger & Dernenber Ratio Methods, the Linear SVM diagnosis, the Key Gas method and the Specification ANSI/IEEE C57.104 Standard. Thus, incipient faults in power immersed-oil transformers can be directly identified by a report’s form which is so easy understood that we can accurate of diagnosis transformer. The user only keys in the measured data of main gases such as H2, CH4, C2H2, C2H4, C2H6, and CO those gases were must decompose via ASTM-D3612. The diagnosis result was showed in texts. This paper was taken some data from Taiwan and Siemens Power Company to verify the program that was validation and accuracy of the transformer’s insulating oil diagnosis tool.