Classification of Power-Grid Signal Transients based on Matched Filters and Graph Signal Processing

In this paper, we introduce a technique for detecting and classifying transients within an electrical signal. Our approach uses the standard matched filter for transient detection and employs graph signal processing and cross-correlation for transient classification. In this way, a more precise analysis of the condition of the power system can be made. The results indicate that this method effectively identifies various types of transients and proficiently categorizes them, also addressing cases where transient classes are not well defined. Furthermore, our procedure exhibits robustness to changes in criteria, offering potential benefits for real signal analysis. To facilitate comprehension, the approach is presented through a detailed, step-by-step example.