Because the faults of high-voltage circuit breakers are not only diverse, they are also cumbersome and complicated. Therefore, in order to find the fault points and specific causes, scientific and appropriate methods must be used for diagnosis, and the diagnosis must be based on actual conditions.
There is a special method in the troubleshooting of high-voltage circuit breakers, that is, the artificial meridian diagnosis method, also called the artificial neural network diagnosis method. Its principle is based on the structure of the human brain and the overall cognitive process of the human face as the object to simulate the processing system of circuit information. Strong adaptability and large memory knowledge reserves are the biggest advantages of this technology.
The fault can be reproduced through the neural network model, which facilitates a more comprehensive observation of the point of failure, so as to accurately find the main cause of the failure. This technology not only has accuracy for high-voltage circuit breaker diagnosis, but also has good operability.
With the development of the times, the application scope of computer technology has gradually expanded, and now it has been extended to electric power enterprises, and in the troubleshooting of high-voltage circuit breakers, expert system diagnosis methods based on computer technology have been widely used.
Knowledge base, reasoning engine, knowledge acquisition module and interpretation interface are the main components of the system. The fact basis and rules put forward by storage experts all come from the knowledge base; the role of the inference engine is to coordinate the organization to control the entire system; the fact basis and rules put forward by the storage experts come from the knowledge base; the knowledge base is coordinated by the inference engine. It can improve the diagnosis basis for high-voltage circuit breaker fault maintenance personnel.