蒸汽发生器诊断及寿命预测方法、系统、介质和设备
By constructing a diagnostic and life prediction method for steam generators, real-time acquisition of signal data, extraction of dynamic response features, and simulation, the problem of online monitoring and life prediction of tube support plate blockage in steam generators was solved, achieving quantitative assessment and probabilistic prediction, and improving the safety and economy of nuclear power plants.
Patent Information
- Application Number
- CN202511657499.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-12
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2045-11-12
AI Technical Summary
Existing technologies for assessing tube support plate (TSP) blockage in steam generators suffer from several problems, including insufficient online monitoring and quantitative assessment, limited utilization of transient dynamic responses, insufficient interpretability of diagnostic indicators, missing links between mechanism simulation and feature screening, disconnect between condition diagnosis and life prediction, and lack of physical constraints and uncertainty measurement in predictions.
A method for diagnosing and predicting the lifespan of a steam generator is constructed. By preprocessing key signal data in real time, dynamic response feature vectors are extracted, simulation data is generated through simulation, key features are screened, comprehensive diagnostic indicators are constructed, the probability distribution of the remaining lifespan is predicted, and graded early warning signals and maintenance suggestions are output. The prediction is performed by combining a drift flow simulation model and a hybrid network of physical constraints.
This represents a technological leap from offline, qualitative assessment to online, quantitative-probabilistic prediction, providing core support for the safe and economical operation and predictive maintenance of nuclear power plants, and improving the accuracy and reliability of steam generator condition monitoring.
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Abstract
Citation Information
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