An intelligent selection analysis method based on operation adaptation of a low-temperature refrigeration centrifuge
By decoupling and reconstructing multi-source load characteristics and performing response boundary analysis on historical operating data and control data of cryogenic refrigerated centrifuges, mismatched sections are identified, and a nonlinear risk assessment model is established. This solves the problems of accuracy and long-term reliability in the selection of cryogenic refrigerated centrifuges in the existing technology, and achieves efficient and stable selection decisions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI OCEAN UNIV
- Filing Date
- 2026-05-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for selecting cryogenic refrigerated centrifuges rely on manual judgment or simple matching of rated parameters, failing to fully consider dynamic changes in operating load and the effects of multi-source load coupling, leading to selection mismatch and equipment failure, and lacking accurate assessment of long-term operational reliability.
By acquiring historical operating data of candidate cryogenic refrigerated centrifuges, performing time-series decoupling and reconstruction of multi-source load characteristics, combining control data to analyze operational response boundary characteristics, identifying aggregation mismatch sections, conducting cryogenic operation degradation characteristic analysis, establishing a nonlinear risk assessment model, and achieving intelligent selection.
Accurately capturing the dynamic load characteristics of centrifuges, clarifying operating boundaries, reducing the risk of equipment failure, improving the accuracy and scientific nature of selection, and ensuring long-term operational stability and efficiency.
Smart Images
Figure CN122412918A_ABST