Based on data mining electrical equipment condition monitoring and fault diagnosis technology research

The electrical equipments operation status monitoring, operating performance analysis and assessment is to ensure the safe operation of its important components. A new trouble pattern analysis was put forward based on thought of data mining. The trouble information dimensionality tables come into being by collecting and cleaning up the fault phenomenon. The association rule dimensionality table was made up of the technique parameters and the trouble causes. We analyzed the trouble information by frequent item set of the Apriori arithmetic based on the trouble information dimensionality table and the association rule dimensionality table. We made sure the causes of the trouble and chose the priority resolving scheme by matching the trouble and building and filtrating the candidates. A process of data mining was designed for status information and fault information, Practical results show that the automation level of the management and diagnosis for electrical equipment is improved and it is of great practical value.