Experimental calibration method based on multi-sensor signal fusion processing
Through multi-sensor signal fusion processing, step-by-step disturbance scenarios and dynamic reference technology, the problem of insufficient error accumulation and detection capabilities in sensor calibration methods is solved, and real-time error capture and long-term stability calibration of large rotating machinery is realized.
Patent Information
- Application Number
- CN202510918137.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-03
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2045-07-03
AI Technical Summary
In the state monitoring and fault diagnosis of large-scale rotary machinery, sensor calibration methods rely on shutdown calibration and single environmental factor compensation, and cannot cope with multi-physical coupling disturbances, resulting in error accumulation and inability to correct in real time, and lack the ability to detect deformation of the installation base and loose mechanical coupling.
Multi-sensor signal fusion processing method is adopted to stimulate errors through step-by-step electromechanical and thermal coupling disturbance scenes, and dynamic references are generated in combination with optical and material marking technology. Four-level decision rule bases and dynamic confidence weight management are implemented to achieve real-time calibration and error capture.
Capture multiple errors in real time in continuous operation state, suppress composite errors, accurately diagnose deformation of the installation base and loose mechanical connections, and ensure spatial consistency and long-term stability of multi-source data fusion.