Digital Transformation for Power Plant
Picture by Timothy Cheng, GE Reports
- May 8, 2019
- 512 views
Power system equipment condition monitoring is a must if you wish to ensure the efficiency and reliability of electricity supply. This is typically achieved with equipment maintenance or replacement based on typical service life parameters. Yet, transitioning from rule-based to model-based monitoring and diagnostics offers significant economic benefits with guaranteed security.
The new proposed functionality for this system includes the following:
- Equipment condition baselining,
- Failures diagnostics,
- Condition change forecast,
- Risk assessment and consequences evaluation,
- Required measures formulation,
- Maintenance and development optimization,
This will all be empowered by model-based integration, data source versatility, scalability, adaptive structure and methodology.
GRT Corporation will discussed this topic during track Ep19 – Using Data and Digital Technology to Enhance Your Plant, event Condition Based Monitoring, at the Electric Power Conference and Exhibition at the Mirage Events Center in Las Vegas, NV, on April 26.
During our presentation, attendees learned how to integrate the conventional monitoring and diagnostics data with SCADA and PMU data. And how high-resolution time-synchronized WAMS data enables transition from rule-based to model-based monitoring and diagnostics. They also saw how this leads to expanded baselining and accumulative statistics analysis capabilities with advanced machine learning-based pattern recognition for predictive analysis.