Implementation of Gaia methodology for multi-agent based transformer condition monitoring

Power transformer is one of the most important and expensive equipment in a power system. Building systems to monitor their real-time behaviours and diagnose their faults automatically with comprehensive knowledge-base are the key issues. This paper provides a new framework for power transformer mon...

Full description

Saved in:
Bibliographic Details
Main Authors: Samirmi, F. Davoodi, Tang, W. H., Wu, Q. H.
Format: Conference Proceeding
Language:English
Subjects:
Expert System
Frequency modulation
Gaia Methodology
Monitoring
Multi-agent System
Power Transformer
Process control
Real-time systems
Rule-based Reasoning
Safety
Security
Software
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Power transformer is one of the most important and expensive equipment in a power system. Building systems to monitor their real-time behaviours and diagnose their faults automatically with comprehensive knowledge-base are the key issues. This paper provides a new framework for power transformer monitoring and fault diagnosis based on a multi-agent system. The Gaia methodology is applied to clarify, simplify and standardize the design of the multi-agent system. Real-time data is sampled from a power transformer and saved into a database and it is also available to users on request. The applied rule-based reasoning for the system reduces the user's work. Therefore, the proposed system is a generic system which can be applied to a wide range of applications, to control a particular device by applying the specific knowledge for that device added to the system. New functions can be added to the system by developing new agents.
ISSN:2165-4816
2165-4824
DOI:10.1109/ISGTEurope.2012.6465710