Generator set stator and rotor defect intelligent diagnosis method and device, computer equipment and storage medium

Abstract

The invention discloses a generator set stator and rotor defect intelligent diagnosis method and device, computer equipment and a storage medium. The method comprises the steps of collecting multi-angle image data of a generator set; performing distortion correction on the collected multi-angle image data of the generator set; splicing the n images output by distortion correction into an omnibearing dead-corner-free hydroelectric generating set stator and rotor monitoring panorama; entering a deep learning fault diagnosis network deployed on the server to perform stator and rotor defect diagnosis of the hydroelectric generating set; and giving an alarm in time according to a defect diagnosis result of the deep learning fault diagnosis network. According to the invention, close-range omnibearing video monitoring is carried out on a narrow space in the hydroelectric generating set through an ultra-wide-angle monitoring camera, and ultra-wide-angle distortion correction, image splicing and intelligent fault diagnosis based on an image deep learning technology are carried out through an image processing algorithm. The direct economic loss caused by fault maintenance of the hydroelectric generating set of a power station and the indirect economic loss caused by shutdown and power failure can be greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of hydropower station power generation, and more specifically refers to an intelligent diagnosis method, device, computer equipment and storage medium for defects in stators and rotors of generator sets. Background technique [0002] Abnormal operation of the internal electrical equipment of the hydropower unit will cause tripping and damage to the equipment. In severe cases, the unit will be shut down unplanned, which will cause serious losses to the production and safety of the hydropower station. During the development and formation process of the internal electrical equipment failure of the hydroelectric unit, part of the performance is the change of the internal electrical equipment structure appearance, such as micro cracks, looseness, falling off, etc., and the change of the structural appearance will cause the movement state of the internal components of the hydroelectric unit to change. Chan...

AI Technical Summary

Problems solved by technology

[0002] The abnormal operation of the electrical equipment inside the hydropower unit will cause tripping and damage to the equipment. In severe cases, the unit will be shut down unplanned, which will cause serious losses to the production and safety of the hydropower station.

Images