Wind turbine planetary gearbox fault diagnosis method and system based on improved capsule network

Abstract

The invention relates to a wind turbine planetary gearbox fault diagnosis method and system based on an improved capsule network. The method comprises the following steps: collecting vibration signals of four states of a wind turbine planetary gearbox as four groups of original vibration signals; wherein the four states comprise a normal operation state, tooth surface abrasion, planet gear tooth breakage and rolling body bearing missing; carrying out point number segmentation on each group of original vibration signals, and constructing a sample data set; training an improved capsule neural network model by using the sample data set, and performing fault diagnosis on the planetary gearbox of the wind turbine generator under the severe working condition by using the trained improved capsule neural network. According to the method, an intelligent diagnosis network integrating feature extraction and fault diagnosis can be constructed, a large amount of manual operation is saved, and the method still has the characteristics of high diagnosis precision and strong robustness under severe working conditions. The method can be widely applied to the technical field of mechanical fault diagnosis.

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis, in particular to a method and system for fault diagnosis of a wind turbine planetary gearbox with improved capsule network. Background technique [0002] In practical industrial applications, with long-term operation, the working conditions of wind turbines change constantly, and with the degradation of key components, the health status also declines. When the environment of wind turbine equipment components is harsh and the noise is greatly affected, the general fault diagnosis model cannot effectively extract fault features and classify them. How to solve this challenging problem has become the difficulty of wind turbine equipment fault diagnosis. . Contents of the invention [0003] In view of the above problems, the object of the present invention is to provide a fault diagnosis method and system for planetary gearboxes of wind turbines with improved capsule network, whi...

AI Technical Summary

Problems solved by technology

When the environment of wind turbine equipment components is harsh and the noise is greatly affected, the general fault diagnosis model cannot effectively extract fault features and classify them. How to solve this challenging problem has become the difficulty of wind turbine equipment fault diagnosis.

Images