A Fault Diagnosis Method of Permanent Magnet Mechanism Vacuum Circuit Breaker Based on Multi-information Fusion

Abstract

The invention relates to a fault diagnosis method for a vacuum circuit breaker with a permanent magnet mechanism based on multi-information fusion. A correlation vector machine classifier model is established for different state types of a vacuum circuit breaker with a permanent magnet mechanism, and the magnetic field intensity signal on the surface of the permanent magnet and the electrical circuit of the operating mechanism are analyzed. The current signal, the voltage signal at both ends of the contact, the current signal flowing through the contact after the contact is stably closed, the potential signal of the shielding cover of the arc extinguishing chamber, the contact pressure signal of the contact and the mechanical vibration signal are collected, and the characteristic value is extracted. Each signal characteristic value of the known state type is used as the input of the model, and training and learning are carried out in the corresponding correlation vector machine classifier model, and the fault diagnosis model of each correlation vector machine classifier is determined. The fault diagnosis of the permanent magnet vacuum circuit breaker is carried out by using the fault diagnosis model and the characteristic values ​​of each signal of the unknown state type. The invention overcomes the limitation of single signal diagnosis, improves the accuracy of diagnosis results, and complements the fault types of circuit breaker fault diagnosis.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of electric power equipment, in particular to a fault diagnosis method for a vacuum circuit breaker of a permanent magnet mechanism based on multi-information fusion. Background technique [0002] The circuit breaker is the most important control and protection equipment in the power system, and its operation status directly affects the operation stability and power supply reliability of the power system. With the construction and development of smart grid, not only the reliable operation and intelligent operation of circuit breakers are required, but also higher requirements are put forward for the accuracy of fault diagnosis of circuit breakers. A comprehensive and scientific diagnosis of circuit breaker faults can provide the correct basis for the power operation department to formulate maintenance strategies. The permanent magnet mechanism is a circuit breaker operating mechanism with electroma...

AI Technical Summary

Problems solved by technology

However, permanent magnets may demagnetize under the influence of external conditions.

This will lead to a decrease in the strength of the magnetic field generated on the surface of the permanent magnet, thereby weakening the holding force of the permanent magnet and affecting the opening and closing state of the circuit breaker at the opening and closing end positions

[0006] However, currently in the field of fault diagnosis of circuit breakers, there are few diagnoses for permanent magnet demagnetization faults, contact contact faults, and interrupter insulation faults.

In particular, there is no diagnostic method for comprehensive diagnosis of the above five fault types

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