Comprehensive monitoring of converter valve reactor status based on multi-source data fusion

Reactor is an important part of the converter valve, and its own operation state will directly affect the safety and stable operation of the overall converter valve. In order to monitor the running status of the converter valve reactor in real time, this paper proposes a Comprehensive monitoring of converter valve reactor status based on multi-source data fusion from the perspective of refined operation and maintenance. It realizes the comprehensive monitoring of the circulation valve reactor state from four aspects, which are data acquisition, data pre-processing, using SVDD to calculate HI, and using RBF Neural Network to realize the data fusion. And experimentally verify the accuracy of the fusion method.