Prediction of Transformer Health Index Using Condition Situation Monitoring (CSM) Diagnostic Techniques

Estimating the Transformer Health Index Using Artificial Intelligence Techniques

Condition Monitoring Techniques of Power Transformers: A Review

Power transformers provide a vital link between the generation and distribution of produced energy. Such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. This paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. Transformer monitoring and diagnosis are the effe...

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System

In this paper, visualization and neural network techniques are applied together to a power transformer condition monitoring system. Through visualizing the data from the chromatogram of oil-dissolved gases by 2-D and/or 3-D graphs, the potential failures of the power transformers become easy to be identified. Through employing some specific neural network techniques, the data from the chromatog...

Transformer Lifetime Modelling Based on Condition Monitoring Data

Effective transformer lifetime models are of paramount importance for asset management but are hindered by the lack of actual failure data. The paper hence proposes an approach for functional lifetime modelling of power transformers based on condition monitoring data. Transformer’s functional lifetime is proposed to be modelled as following a two-parameter Weibull distribution whose parameters ...

Transformer Condition Monitoring based on Neural Networks & Fuzzy Logic

Generation, transmission and distribution of electric energy are to be characterized by a very high degree of reliability. Reliability level is directly related to the quality of the equipment used and the periodic maintenance carried out on the system. In our country, the distribution system is the most neglected part, which is being given some importance only in the recent years. Distribution...