Diagnostic method of electrical life of high-voltage circuit breaker based on fuzzy theory

Abstract

The invention discloses a diagnostic method of electrical life of a high-voltage circuit breaker based on a fuzzy theory, belonging to the field of online monitoring and failure diagnosis technologies of power equipment. The method comprises the steps of (1), listing factors comprising switch abrasion, time parameter, average opening and closing speed and contact resistance into a factor set as diagnosis factors to determine a diagnosis language set; (2), determining a weight set, namely determining weight of the factors by using an analytic hierarchy process; (3), determining a membership function and a relational matrix; and (4), processing a fuzzy operator and an evaluation index. According to the method, the fuzzy theory is applied to the electric life diagnosis of the high-voltage circuit breaker; the factors such as the switch abrasion, the time parameter, the average opening and closing speed and the contact resistance and the like which reflect the electric life of the circuit breaker are taken into account; a diagnosis index system of the electric life of the circuit breaker is built; a plurality of failure diagnosis sample libraries are not required in the diagnosis method of the electric life of the circuit breaker; the method is easy to program and capable of quickly and accurately diagnosing the electric life of the circuit breaker.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring and fault diagnosis of electric equipment, and in particular relates to a method for diagnosing the electric life of a high-voltage circuit breaker based on fuzzy theory. Background technique [0002] With the rapid development of society and economy, the power system plays an increasingly important role in the national economy. With the improvement of voltage level and the increase of installed capacity, users have higher and higher requirements for power supply quality and reliability, which puts forward higher requirements for power equipment monitoring and diagnosis technology. High-voltage circuit breakers are the most important control and protection equipment in power systems. Under normal circumstances, they can carry, break, and close normal and fault currents within a specified time. The reliable operation of high-voltage circuit breakers is crucial to the safety and stabilit...

AI Technical Summary

Problems solved by technology

[0004] At present, artificial intelligence algorithms such as support vector machines and neural networks have been widely used in the fault diagnosis of high-voltage circuit breakers. However, due to the limitations of these methods, the actual diagnostic accuracy and diagnostic efficiency are still difficult to meet the requirements of field applications.

Taking the fault diagnosis method based on neural network as an example, this method requires a large number of fault sample databases for neural network training, and the neural network learning convergence speed is slow, and it is easy to fall into local minimum points, resulting in low diagnostic efficiency and poor diagnostic accuracy, which is difficult to meet Field Application Requirements

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