Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data
The author proposes a novel approach for detecting and categorizing electrical faults using the Hessian locally linear embedding technique, Mann-Whitney U test, t-SNE, and Gaussian mixture model. This methodology aims to enhance fault detection accuracy and streamline fault categorization processes.