Automated Diagnostic System for Power Transformers using a QR Code

Diagnostic Measurements for Power Transformers

With the increasing age of the primary equipment of the electrical grids there exists also an increasing need to know its internal condition. For this purpose, offand online diagnostic methods and systems for power transformers have been developed in recent years. Online monitoring is used continuously during operation and offers possibilities to record the relevant stresses which can affect th...

A QR Code-based Indoor Navigation System Using Augmented Reality

A Novel Flux-Based Protection Scheme for Power Transformers

Internal Turn-Turn faults (TTF) are the most common failures in power transformers, which could seriously reduce their life expectancy. Although common protection schemes such as current-baseddifferential protection are able to detect some of the internal faults, some other minor ones (such as TTFs andshort circuit near the neutral point) cannot be detected by such schemes. Likewise, these rela...

Implementation of a Model-based Diagnosis System for Power Transformers

A Matlab/Simulink implementation of a model-based diagnoses system for power transformers based on structured residuals is presented in this work. Process models for thermal behavior and moisture diffusion in paper are observers for transformer temperatures and relative water concentration in oil respectively. An experimental setup consisting of a medium voltage distribution transformer equippe...

Artificial Neural Networks for Power Transformers Fault Diagnosis Based on IEC Code Using Dissolved Gas Analysis

Transformer is the main important equipment in electrical power system. Early stage detection of the transformer faults has great economic significance because it considered expensive equipment and it helps to maintain the continuous operation of the electrical power system. Transformer oil is used for two main purposes, one for insulating liquid and the other for cooling. Some physicalchemical...