DISSOLVED GAS ANALYSIS (DGA) DATA INTERPRETATON METHOD FOR TRANSFORMER FAULT IDENTIFICATION USING COGNITIVE ARTIFICIAL-INTELLIGENCE
Fault in transformer can be detected using Dissolved Gas Analysis (DGA). Doernenburg Ratio Method (DRM) is one of the most common methods used to interpret DGA data. DRM has several limitations, it has low accuracy, furthermore it can only identify single fault. These limitations can be overcome...
Saved in:
Main Author: | |
---|---|
Format: | Dissertations |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/39110 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Be the first to leave a comment!