A substation secondary equipment fault rapid diagnosis method and system
By using a decomposition method based on statistical independence and correlation analysis, the true aging trend components of substation secondary equipment are identified. Combined with a dual-threshold early warning mechanism, the problem of spurious trend component interference in existing technologies is solved, thereby improving the accuracy and reliability of fault diagnosis and providing a scientific maintenance strategy.
Patent Information
- Application Number
- CN202610424757.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively distinguish between spurious trend components caused by load fluctuations and changes in ambient temperature and equipment aging components in the fault diagnosis of substation secondary equipment. This leads to large errors in prediction results and even paradoxical phenomena, affecting the accuracy and reliability of fault diagnosis.
A decomposition method based on statistical independence is adopted to decompose multidimensional monitoring data into multiple independent source signal components. The true aging trend component is identified through correlation analysis, and a dual threshold early warning mechanism based on instantaneous value and average rate of change is combined to output fault early warning information.
Effective decoupling of operating condition disturbance components and actual aging components improves the accuracy and reliability of fault diagnosis, enables early identification and risk classification of potential faults, provides scientific maintenance strategies, and enhances the operational reliability of the power grid secondary system.
Smart Images
Figure CN122413006A_ABST