Wind turbine pitch motor temperature sensor fault warning method based on lightgbm algorithm

Abstract

The fault warning method of the pitch motor temperature sensor of wind turbine based on the LightGBM algorithm includes the following steps: data collection and processing, collecting enough fan operation data before modeling, and performing preliminary processing; training the model, selecting a sensor with a pitch motor Perform model training on the faulty data and save it as a lightGBM model; parameter adjustment optimization, in order to make the algorithm achieve the optimal training effect, adjust the parameter variables of the model; run the model to get the early warning result, after the model is saved, in the new data prediction process , you need to load the saved model first, the data that needs to be predicted, judge the fault point by comparing the predicted value with the actual value, and output the early warning information; then analyze the early warning information, find the root cause of the failure, and give reasonable maintenance suggestions . The invention overcomes the deficiencies of the prior art, utilizes the distributed and high-efficiency characteristics of the LightGBM, and well solves the problems of difficult early warning modeling and low accuracy of pitch motor faults of wind turbines.

Description

technical field [0001] The invention relates to the technical field of fault early warning, in particular to a fault early warning method for a temperature sensor of a pitch motor of a wind turbine based on a LightGBM algorithm. Background technique [0002] The pitch motor is an important component of the wind turbine. The high temperature failure of the pitch motor will cause the fan to stop, seriously affecting the power generation, and the pitch equipment will also be damaged to varying degrees. In the high temperature fault of the pitch motor, if the temperature sensor of the pitch motor PT100 drifts or is damaged in other ways, the PT100 will falsely report the high temperature, which will cause the pitch system to start and stop frequently, and at the same time cause the fan to stop, resulting in loss of power generation. In addition, if the temperature of the pitch motor PT100 is low, it will cause high temperature and cannot be shut down in time, seriously affecting...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies of the prior art, the present invention provides a wind turbine pitch motor temperature sensor fault warning method based on the LightGBM algorithm, which overcomes the deficiencies of the prior art, and utilizes the distributed and efficient characteristics of LightGBM to solve the problem of wind turbine generators. Difficult modeling and low accuracy of pitch motor fault early warning

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