Recognition method of blade attachments of sea current machine based on vgg16-segunet and dropout

Abstract

The invention belongs to the field of fault diagnosis of sea current machines, and in particular relates to a method for identifying attachments of sea current machine blades based on VGG16-SegUnet and dropout. Collect and perform standardized preprocessing; build the VGG16‑SegUnet network; use the Adadelta optimizer to train the network; test the trained network to complete the identification of the position and size of the attachments on the blades of the sea current machine, and estimate the uncertainty of the identification results; finally Calculate the accurate area ratio of attachments and the average intersection and union ratio. The present invention solves the problem that the existing method for diagnosing attachments on sea current machine blades based on image signals cannot locate attachments, output accurate proportions of attachments, and estimate identification uncertainty, and provides conditions-based maintenance and subsequent fault-tolerant control for sea current machine blades. Instructive recommendations are provided.

Description

technical field [0001] The invention relates to the field of fault diagnosis of sea current machines, in particular to a method for identifying attachments of sea current machine blades based on VGG16-SegUnet and dropout. Background technique [0002] Ocean current energy is a renewable and clean energy known as "blue oil field" and "Saudi Arabia on the Sea". Regular sea water flow. Compared with wind energy and solar energy, ocean current energy has the advantages of predictability and high energy density. As a kind of ocean current power generation device, the sea current machine has the advantages of low noise, reliable operation and no strict site selection requirements. Its power generation principle is: absorb the energy of flowing sea water through rotating machinery, convert it into electrical energy and transmit it to the grid Realize grid-connected power generation. Different from wind turbines installed on land, once the sea current machine is officially put in...

AI Technical Summary

Problems solved by technology

Different from wind turbines installed on land, once the sea current machine is officially put into operation, it will be placed underwater for a long time, which will cause the following potential problems: (1) Small marine organisms are likely to be attached to the blades of the sea current machine in the form of attachments. The surface is propagated, which may cause blade imbalance; (2) The blades of sea current machine are generally made of metal, so the long-term seawater immersion will rust the blades, thus affecting the mechanical performance

However, in the face of the complex underwater environment, simply analyzing the stator current and voltage signals is not enough to complete the accurate diagnosis of the degree of attachment

In addition, the existing methods for diagnosing attachments on sea current machine blades based on image signals have the following problems: (1) The position and size of attachments are not identified; (2) The accurate area ratio of attachments is not diagnosed; (3) ) cannot identify different attachment distributions, and lacks an analysis of the uncertainty of diagnostic results

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