A Fault Diagnosis Method and System for Synchronous Condenser Based on Multi-Data Fusion

The fault diagnosis system proposed in the article comprehensively utilizes forward and backward reasoning, experts on-site diagnosis rules and grey correlation analysis methods to calculate the correlation and credibility between diagnostic results and symptom data. This improves the real-time and accuracy of the vibration fault diagnosis of the synchronous condenser shaft system, and this is very valuable in eliminating potential equipment failures.