Reference Information
Key information from reference documents and guides (e.g.) or succinct descriptions of concepts (e.g. what is risk and how do I visualize it)
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Key information from reference documents and guides (e.g.) or succinct descriptions of concepts (e.g. what is risk and how do I visualize it)
Establish the value and use of various types of circuit breaker performance data (e.g., work orders, defects, failure records, relay data etc.)
Collect and analyze industrywide data to develop maintenance, asset management and model specific insights
Utilize the insights and utility’s fleet data to develop maintenance and replacement ranking framework
Guide utilities on what data they should have access to for asset management analytics
Power Transformer Spares Strategy Evaluation Model Development
Develop the Power Transformer Expert System software that can emulate expert thinking, utilize readily available data (dissolved gas, electrical tests, furans, online monitor, through faults etc.) and perform analysis to assess transformer condition and to help individual units at risk.
Collect and analyze industry wide in-service and failure data to develop hazard rates by family, make, model, application, and age
Develop statistical analysis tools that take hazard rates and utility’s fleet information for developing replacement forecast.
Develop statistical methodologies that utilities can utilize to evaluate spare transformer strategies.
Power Transformer Through Fault Analytics
Develop & validate algorithms to assess the susceptibility of a power transformer to through faults.
Establish value and use of various types of asset performance data (e.g., historical battery test data)
Collect and analyze industrywide data to develop maintenance, asset management and model specific insights
Research currently underway focuses on batteries, disconnect switches, capacitor banks and relays.
Advanced Analytics (e.g., Machine Learning, Natural Language Processing etc.) evaluates various techniques to identify whether they can be used:
To develop methods to transform a variety of asset performance data into an analysis ready format
To develop methods to analyze the transformed data
To categorize maintenance and outage records into meaningful categories
To extract actionable information such as dominant issues and trends, non-apparent patterns and relationships
For predictive analytics.
Transformer Asset Health Visualization– provides EPRI’s perspective on transformer asset health visualization for different utility stakeholders including asset managers, subject matter experts and maintenance personnel. The following topics are addressed:
Input data requirements and priority of data fields
Visualization of transformer health information for different stakeholders
Priority of alarms