应用+AI+技术提高汽轮机运营的可靠性_13页_3mb

报告摘要

AI for Nuclear Steam Turbine Reliability
Eric Prescott, EPRI Program Manager - April 28, 2025

Key Insights:
✅ Goal: Leverage AI to improve nuclear steam turbine operations reliability.
✅ Focus Areas:

Monitoring changes in steam turbine behavior (e.g., "smart" risk management solutions).
Detecting sustained increases in fault indicators (e.g., >15% deviations from baseline).

⚠️ Expert Guidance:

EPRI recommends investigating prolonged changes in turbine performance for early fault prediction.
Regular updates to nuclear steam turbine guidelines available via EPRI.

💡 AI Capabilities:

Analyze historical data patterns for "healthy" operation benchmarks.
Predict potential issues through anomaly detection and proactive maintenance.

🛠️ Practical Application:

Use AI tools to enhance fault prediction, optimization, and maintenance scheduling.
Integrate with EPRI resources for tailored nuclear turbine solutions.

Recommendations:
• Contact EPRI directly or access their institutional database for latest nuclear steam turbine standards.
• Deploy AI-driven monitoring systems for continuous performance tracking.

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