Fault diagnosis method for gear case of aerogenerator

Abstract

The invention provides a fault diagnosis method for a gear case of an aerogenerator. The method comprises the following steps that a vibration sensor obtains a vibration signal when the gear box runs; a wavelet packet analysis method is used to carry out three-layer decomposition analysis on the collected vibration signal; empirical mode decomposition is carried out on the vibration signal after wavelet packet analysis, and a first component of the signal is extracted; characteristic values are extracted from the extracted first signal component, and serve as a characteristic value used for fault diagnosis; a characteristic vector sample of historical fault data of the gear case is obtained; a support vector machine is used to train the characteristic vector sample, and a group of highest classification accuracy is used as parameters for fault diagnosis later; real-time operation data of the gear case is obtained, and a characteristic vector is obtained; and the support vector machine is used to classify the characteristic vector, and a diagnosis result is output. According to the invention, whether the operation state of the gear box is normal can be analyzed, and a fault part can be determined in a fault state.

Description

technical field [0001] The invention relates to the field of fault detection of wind power generating sets, and in particular to a fault diagnosis method for a gearbox of a wind power generator. Background technique [0002] Due to the lack of energy and safety issues in the past, the world has turned its attention to green, pollution-free and renewable wind energy. As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. Its reserves are huge, and the global wind energy is about 2.74×10 9 MW, of which the available wind energy is 2×10 7 MW is 10 times larger than the total amount of water energy that can be developed and utilized on the earth. Convert the kinetic energy of the wind into mechanical kinetic energy, and then convert the mechanical energy into electrical kinetic energy, which is wind power generation. The principle of wind power generation is to use the wind to drive the blades of the windmill to ro...

AI Technical Summary

Problems solved by technology

However, although traditional methods such as spectrum analysis can detect single and simple faults, they cannot be satisfied with the identification of complex faults.

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