Implementation of business rules approach in transformer fault detection system

Abstract

In present electric power system, signal feedback approach is used in fault detection system of power transmission and transformation devices. Each monitor station controls a huge amount of devices. Fault information is delivered to workers by displaying on the screen. The high refresh rate of prompted messages on screen and the long duration of decision-making will result in the loss of important fault information. In order to address that problem, we developed a transformer fault detection system by adopting rule-based programming approach based on the transformer's fault detection in electric power transmission and transformation. This system can help workers analyze the fault information and take corresponding operations. In order to let user maintain business rules base independently, we developed business rules management system. In this paper, it shows that rule-based approach can be applied in fault detection, and it reduces worker workload greatly. The implementation of rule management system indicates that users can maintain rule base independently. If the system defines a definite definition of conflicts in rule base, it can automatically detect the existence of conflict rules.