Transformer condition assessment using Fuzzy C-means clustering techniques

This paper introduces a transformer fleet monitoring solution to help the end user to group transformer assets and react accordingly to monitored situations

Analysis of the Weighted Fuzzy C-means in the Problem of Source Location

Abstract. This paper proposes the use of the clustering method called Weighted Fuzzy C-means to solve the problem of mixing matrix estimation in underdetermined source separation based on sparse component analysis. The performed comparative analysis shows that the approach has a significant application potential, especially if the distributions of the columns of the mixing matrix has a non-uniform character.