An industrial system event playback method based on health analysis
By using a health-based analysis method, combining performance impact weights and asset importance weights, and employing a multilayer perceptron neural network for fault diagnosis and screening, the problem of unscientific event screening in industrial system event playback is solved, enabling efficient display of critical events and decision support for managers.
Patent Information
- Application Number
- CN202510839057.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-23
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2045-06-23
AI Technical Summary
Existing technologies lack multi-level analysis in industrial system event replay, leading to unscientific event selection, inability to accurately reflect core system issues, and impacting the scientific nature of management decisions.
A health-based analysis method is adopted, which uses a multilayer perceptron neural network to diagnose faults in the real-time operating parameters of the production unit. By combining performance impact weights and asset importance weights, a severity score for fault events is calculated, and fault events are screened and replayed based on the severity score.
It enables the scientific screening and efficient playback of key events, ensuring that high-value or high-impact failure events are prioritized for display, thereby improving managers' efficiency in understanding the health status of the system and the accuracy of their decision-making.