Search Results for author:
Found 2 papers, 0 papers with code
A Supervised Embedding and Clustering Anomaly Detection method for classification of Mobile Network Faults
The paper introduces Supervised Embedding and Clustering Anomaly Detection (SEMC-AD), a method designed to efficiently identify faulty alarm logs in a mobile network and alleviate the challenges of manual monitoring caused by the growing volume of alarm logs.
Detection of Transformer Winding Axial Displacement by Kirchhoff and Delay and sum Radar Imaging Algorithms
In this paper, a novel method for in detail detection of the winding axial displacement in power transformers based on UWB imaging is presented.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
