Fault diagnosis method and system for high-voltage generator

Abstract

The present disclosure relate to a fault diagnosis method, including: collecting at least one set of original data of the high voltage generator during operation, each condition attribute in a condition attribute set corresponding to one piece of original data; pre-processing the original data to obtain pre-processed data and generating a decision table; performing an attribute reduction based on the decision table to obtain a reduced condition attribute set and a reduced decision table; generating a decision tree model according to the reduced decision table; generating a decision forest model according to at least one decision tree model; obtaining a fault type and a fault level according to the decision forest model; determining an acceptable level of the fault according to the fault level and a frequency of occurrence of the same type of fault, and sending the fault type and the acceptable level to the display terminal.