- Fault in power transformers can cause extensive damage which does not only interrupt electricity supply but also result in large revenue losses
- Transformers must be regularly monitored and maintained. Transformers of different made and capacities exhibit different characteristics and problems. Which make routine to maintain and diagnosis of such transformers rather difficult
- The Malaysian power utility company Tenaga Nasional Berhad(TNB) needs an efficient transformer fault system
- An out put of collaborative research between Tenaga National Berhad Research(TNBR) , a subsidiary of TNB and Centre for Artificial Intelligence and Robotics(CAIRO) of Universiti Teknologi Malaysia
Product Features
- The transformer health is being monitored by entering the result of dissolved gas analysis in a database. Fuzzy Logic algorithm is used to detect if there is any irregularities in the result of dissolved gas analysis and interpret the fault. It is used as an aid for the engineers to monitor the transformer's health
- This system is developed in web based environment
Highlight
- Advanced database management information system for fast and easy retrieval and manipulation
- Utilizing Total Intelligence Diagnostic Solution (TIDS) architecture as the core fault diagnostic engine
- Incorporate Fuzzy Logic into the well known transformer diagnosis method, Key Gas, roger Ratio, TDCG and Logarithmic Nomograph
- Web Accessible and Reporting for fast information delivery with no boundary
- Sophisticated early auto email or SMS precaution alert system to avoid the risk of transformer explode
- Empowered by Microsoft© SQL Server 2000 DBMS and Microsoft©Internet Information Services(IIS 4.0)
