一种电气设备自动化运维调控方法及系统
By using information entropy weighted fusion and adaptive control methods based on fractional differential equations, the problem of equipment failure during the decline period caused by fixed weight coefficients in existing technologies is solved. This enables dynamic assessment of health index and smooth transition of control strategies, thereby improving the safety and stability of the equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHAANXI SCI TECH UNIV
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing operation and maintenance control methods use fixed weighting coefficients to balance economic and reliability objectives, which leads to a reduction in the overload tolerance and safety margin of equipment during the degradation period, making it prone to failure.
By employing information entropy weighted fusion of multi-source sensor data, combined with fractional differential equations and adaptive unscented Kalman filtering, adaptive weights and penalty terms are constructed. Control commands are generated through a multi-objective optimization function to dynamically adjust the weight ratio of economic and reliability objectives.
It enables dynamic assessment of health indices and a smooth transition of control strategies, avoiding decision jitter and improving the safety and stability of equipment under critical conditions.
Smart Images
Figure CN122414746A_ABST