condition monitoring techniques of power transformers: a review

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...

Condition Monitoring of Power Transformers with Neural Networks

In this paper, neural network technique is applied to a system named NEUCOMS that is designed for condition monitoring of power transformers. Through employing paired neural networks, NEUCOMS has the ability of analyzing data of electrical inspections as well as data of the chromatogram of oil-dissolved gases. It utilizes redundant input attributes to speed the training and reduce the size of t...

Development of Condition Monitoring Instrumentation for Sensing Power Transformers

The objective of this work is the design and development of the Data Acquisition and Storage parts of a measurement system that will be used for the Condition Monitoring (CM) of Power Transformers. The data captured from the sensors and stored in a database will be used by an application that will predict the behavior of the Power Transformer. Data Store and Data Acquisition were developed usin...

A Methodical Review of Condition Monitoring Techniques for Electrical Equipment

Condition monitoring has a great potential for enhancement in the reliability of operation, machine up-time, reduction in consequential damage and improving operational efficiency at lower operational cost. In electrical equipment incipient faults are often characterized by variations in temperature, vibro-acoustic signature, etc. Different condition monitoring techniques use dedicated sensing ...

Automated Integration of Condition Monitoring with an Optimized Maintenance Scheduler for Circuit Breakers and Power Transformers

Power transformers¬タル condition monitoring using neural modeling and the local statistical approach to fault diagnosis

On-line monitoring of electric power transformers can provide a clear indication of their status and ageing behavior. This paper proposes neural modeling and the local statistical approach to fault diagnosis for the detection of incipient faults in power transformers. The method can detect transformer failures at their early stages and consequently can deter critical conditions for the power gr...