A state evaluation and fault diagnosis strategy for
When it comes to relay protection systems, creating representative indicators that accurately reflect the characteristics of a fault can improve the
Contact UsFault Point Analysis of Relay Protection Information
Home / Fault Point Analysis of Relay Protection Information
This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and pre-diction model for. Fault tracking means that after the failure of relay protection devices, the anomalies and warning information are obtained through data-mining technology, and then, the fault tracking algorithm is used to find the cause of failure.
