High-voltage circuit breaker fault diagnosis method based on decision tree algorithm

Abstract

The invention discloses a high-voltage circuit breaker fault diagnosis method based on a decision-making tree algorithm, and the method comprises the steps: feature selection: selecting feature vectors with classification capability for training data, wherein the feature vectors comprise four groups of feature vectors: a main contact stroke, a switching-on overtravel, action time and switching-onand switching-off synchronism; generating a decision tree, calculating an information gain ratio of the feature vectors in the training data set, judging whether the information gain ratio is maximumor not, selecting the feature vector with the maximum information gain ratio as a test condition of a decision node, and generating a complete decision tree according to a C4.5 algorithm; pruning thedecision-making tree, and pruning the decision-making tree according to the loss function of the minimized decision-making tree. Maintenance can be arranged in a targeted mode, unnecessary maintenancecan be effectively avoided, manpower and material resources are saved, and meanwhile power grid accidents caused by the fact that latent faults continue to be developed into dominant faults can be prevented.

Description

technical field [0001] The invention relates to the field of electrical control and protection, in particular to a high-voltage circuit breaker fault diagnosis method based on a decision tree algorithm. Background technique [0002] As the most important control and protection equipment in the power system, the high-voltage circuit breaker has a high probability of failure due to its complex structure and relatively frequent actions. If it fails, it will not be able to control and protect the safe and stable operation of the entire power system, resulting in huge economic losses. At present, the methods of detecting high-voltage circuit breakers include regular inspection and post-event inspection. Regular inspection is time-consuming, laborious, and blind. Regardless of whether the circuit breaker is faulty or not, it will seriously affect the service life of the equipment, because most of the equipment It does not need to be disassembled or repaired, and its performance w...

AI Technical Summary

Problems solved by technology

The fault estimation method based on signal mode is suitable for the input and output of the diagnosed system can be measured, but there are too many human factors, and it is difficult to determine the fault membership degree; while the knowledge-based fault diagnosis method is applied to faults where it is difficult to build an accurate mathematical model system, the diagnostic results also relatively increase the bias

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