Clustering analysis for electromagnetic relay failure mode based on time series and section data

摘要

The characteristics of dynamic contact resistance reflect the performance and reliability of the whole electromagnetic relay in the electromagnetic relay closing process. Pattern clustering and recognition for electrical contact performance parameters can help diagnose degraded mode, which has a very important significance. Clustering analysis based on "Time Series and Section Data" reflects all the data within the dynamic distribution of circumstances, because it is a classification method with the empirical data and it has strong credibility. This paper applies the clustering analysis based on "Time Series and Section Data" to the failure modes of characteristic parameters in the electromagnetic relay closing process. And the products with similar information performance characteristics were clustered together. It is the pretreatment of the further research, which researches the relevance to performance information features of electromagnetic relays, performance deterioration rule, and the performance life.