Fault early warning method for gear box of wind turbine generator

Abstract

The invention discloses a fault early warning method for a gear box of a wind turbine generator. The method comprises the following steps: S1, acquiring a vibration signal and an attitude signal of agear of the gear box of the wind turbine generator by utilizing a three-dimensional attitude sensor and a vibration sensor; S2, realizing extraction of vibration signal and attitude signal data characteristics based on a CCIPCA algorithm; S3, realizing classification of the target data based on the LSSVM and the data features; and S4, when the classification result falls into a preset early warning threshold, calling a corresponding Inception V2 deep neural network model according to the classification result to realize current fault risk assessment. According to the invention, early warning and simulation analysis of wind power gear box faults can be realized, wind turbine generator gear box fault monitoring is carried out simultaneously based on the attitude signals and the vibration signals, and the accuracy of a fault risk assessment result is greatly improved.

Description

technical field [0001] The invention relates to the field of mechanical fault diagnosis, in particular to a fault early warning method for a wind turbine gearbox. Background technique [0002] A wind turbine consists of wind rotors, low-speed shafts, gearboxes, high-speed shafts, generators, towers and other components. As an intermediate device for speed conversion of wind turbines, the gearbox is crucial to the normal operation of the entire unit. The failure of the gearbox will often cause the shutdown of the entire wind turbine, directly affecting the performance and safety of the wind turbine. Since the wind turbine gearbox usually operates at a height of tens of meters, it is more prone to failure and more difficult to repair than other rotating machinery. The investigation report on the operation quality of wind farm equipment shows that gearbox failure is the equipment that causes the longest downtime of wind turbines. Therefore, fast and accurate analysis and diag...

AI Technical Summary

Problems solved by technology

[0003] At present, the research on gearbox faults is mostly in the field of fault diagnosis, that is, the initial fault is judged at the first time or the short-term prediction of serious faults, and it is impossible to predict the state of the equipment in advance and optimize the maintenance decision.

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