State maintenance and fault diagnosis method for power transformation equipment

Abstract

The invention relates to a state maintenance and fault diagnosis method for power transformation equipment. The method is mainly and technically characterized in that an optimized adaptive adjustment-based learning rate model is established through improving typical and differential samples. According to the optimized adaptive adjustment-based learning rate model, the state maintenance and the fault diagnosis for power transformation equipment are carried out. The method is reasonable in design, and the state maintenance and the fault diagnosis for power transformation equipment are carried out through the optimized adaptive adjustment-based learning rate model. The redundant diagnosis information can be effectively reduced. Meanwhile, the complicated calculation and derivation is not required, so that a fault recognition neural network model is more practical. The model is better in line with the actual situation and the maintenance efficiency is improved. The fault maintenance cost and the power shortage loss cost of users are controlled. The problems of blind maintenance and insufficient maintenance can be avoided. The balance among the safety, the efficiency and the economy isfully realized. The replacement, the transformation, the operation maintenance and the maintenance test of power transformation equipment are guided by the method. Meanwhile, the method provides a direct basis for the management decisions, the equipment maintenance and the like of the power transformation equipment.

Description

technical field [0001] The invention belongs to the technical field of power transformation equipment, in particular to a fault diagnosis method for state maintenance of power transformation equipment. Background technique [0002] Substation equipment is an important equipment in the power system and plays an important role in the normal operation of the power system. For a long time, the maintenance work of substation equipment has implemented the planned maintenance system based on preventive test procedures. Due to the continuous expansion of the scale of the power grid, the use of periodic maintenance and troubleshooting generally has the problem of under-repair or over-repair, which poses a major threat to the reliable operation of the power grid, resulting in waste of operation and maintenance costs for substation equipment and increasing the burden on human resources. The main reasons include the coexistence of differences in the state of old and new equipment, the ...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, to propose a fault diagnosis method for condition maintenance of substation equipment, to solve the common problems of under-repair or over-repair in the traditional maintenance mode and the waste of operation and maintenance costs and human resource costs of substation equipment question

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