Health Diagnosis Method of Power Distribution Equipment Based on Holographic Time-scalar Measurement Data

With the continuous expansion of the distribution network, resulting in a large amount of running data. The integration of Realtime Database and distribution network system make it prossible to record distribution holographic scalar measurement data. This paper studied the deep integration of Realtime Database and distribution network system. On the basis of integration, we studied health diagnosis method of power distribution equipment and we carry out in-depth data mining on the distribution history data and model information. The equipment state diagnosis model and the evaluation system are established by cluster analysis, linear regression algorithm and entropy method, and the equipment fault assessment and early warning analysis are realized. The weak links in distribution network can be found in time to ensure the safe and stable operation of the distribution equipment.