A large amount of data has been accumulated in the technical supervision
work of power grid enterprises for many years. Considering that the
family defects of power equipment have a great influence on equipment
condition assessment, this paper introduces an improved hierarchical
clustering method based on the analysis of the traditional hierarchical
clustering method to automatically identify and cluster the family
status data of power equipment. The quantitative assessment of the
family defect factor is then given. The family defect assessment is
combined with the MMS communication network equipment in the substation
communication network, which effectively and reasonably reflects the
impact of various types of family defects on the health status of the
equipment and provides a strong basis for maintenance decision making.