JOURNAL

Layanan journal yang disediakan oleh Perpustakaan Universitas Gunadarma

Fuzzy Logic Expert System for Incipient Fault Diagnosis of Power Transformers

Judul Artikel:Fuzzy Logic Expert System for Incipient Fault Diagnosis of Power Transformers
Judul Terbitan:INTERNATIONAL DAN ELECTRICAL ENGINEERING AND INFORMATICS
ISSN:2085-6830
Bahasa:IND
Tempat Terbit:BANDUNG
Tahun:0000
Volume:Vol. 10 Issue 2 0000
Penerbit:INSTITUT TEKHNOLOGI BANDUNG
Frekuensi Penerbitan:1 x 1 tahun
Penulis:Zakir Husain
Abstraksi:: Condition monitoring of power transformers improves the security and reliability of an electrical power system. It protects the transformers from failures, and avoids huge revenue loss to utilities and customers. The fault diagnosis of transformers is carried out by concentrations of several dissolved gasses. An accurate fault diagnosis of transformers has been a critical problem for diagnostic experts of transformers. In this article, a novel fuzzy logic model has been proposed to determine the transformer incipient faults. It incorporates the information obtained from dissolved gas analysis test. Further, the proposed model also incorporates conventional fault diagnosis methods viz. Duval Triangle, Doemenburg, Rogers, and IEC ratio code methods. The proposed fuzzy logic models short out the problems occur in the conventional fault diagnosis methods of transformers.
Kata Kunci:Transformer; dissolved gasses; fuzzy logic; incipient fault; diagnosis
Lokasi:P300
Terakreditasi:belum