Gearbox fault diagnosis and signal acquisition method and device, and electronic equipment

Abstract

The invention discloses a gearbox fault diagnosis method and device, a gearbox signal acquisition method and device and electronic equipment, and the diagnosis method comprises the steps: obtaining a real signal of a gearbox and an analog signal generated by the acquisition method, and the real signal comprises a real torque signal, a real vibration signal and a real rotation signal; respectively inputting the analog signal and the real signal into a preset fault diagnosis network to obtain a fault diagnosis result of the gearbox; wherein the preset fault diagnosis network comprises a first neural network used for feature extraction and a second neural network which is provided with a hierarchical attention mechanism and used for outputting a fault diagnosis result, and the preset fault diagnosis network is generated based on simulation signal and real signal training. According to the technical scheme provided by the invention, the data quality of the sensor is improved, and the fault diagnosis accuracy of the gearbox is improved.

Description

technical field [0001] The invention relates to the field of algorithm design, in particular to a gearbox fault diagnosis, signal collection method, device and electronic equipment. Background technique [0002] Wind turbines work in harsh environments such as sandstorms, lightning, and rainstorms all year round. In order to ensure the reliability and safety of key components of the wind turbines, the requirements for its operation and maintenance are becoming more and more stringent. The gearbox is the key transmission device of the wind turbine. Maintenance, replacement and repair are time-consuming and costly. At the same time, its health status is closely related to the stable operation of the wind turbine. In recent years, researchers have widely used signal analysis methods to realize gearbox fault diagnosis. The methods use time, frequency domain statistical features, wavelet transform, fast Fourier transform, empirical mode decomposition, etc. to extract features fro...

AI Technical Summary

Problems solved by technology

However, most of the current digital twin models are based on the 3D model platform for UI creation. The model is too simple and the signal data for analysis is single. Final Accuracy Rate of Gearbox Fault Diagnosis

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