Method for monitoring state of gearbox of wind power generation set

Abstract

The invention provides a method for monitoring the state of a gearbox of a wind power generation set. The method includes the following steps of: collecting historical data of a wind power generation set SCADA system, screening out the active power, wind speed, cabin temperature, principle shaft rotation speed and gearbox oil temperature of the set under the healthy operation condition, and establishing a standard expert database; optimizing the penalty coefficient and the nuclear parameter of a least squares support vector regression machine by using a gravitational search algorithm, and establishing a gearbox oil temperature mapping model under the healthy operation condition by taking the active power, wind speed, cabin temperature, principle shaft rotation speed in the expert database as inputs and the gearbox oil temperature as an output and based on the optimized vector machine model; monitoring the gearbox of the wind power generation set in real time by using the mapping model, inputting the actually measured values of the active power, wind speed, cabin temperature and principle shaft rotation speed to obtain the predicted value of the gearbox oil temperature, defining the quotient of the predicted value of the oil temperature and the actually measured value as a judging index, and judging that a failure occurs in the gearbox of the wind power generation set and giving an alarm, if the statistical property of the judging index is abnormal. The method can be widely applied to early warning of the gearbox of the wind power generation set.

Description

technical field [0001] The invention belongs to the technical field of state monitoring of wind turbines, and in particular relates to a method for monitoring the state of a gearbox of a wind turbine. Background technique [0002] Wind energy is the fastest growing renewable energy and the clean energy with the most commercial development value. According to the statistics of the World Wind Energy Association, by the end of 2013, the total installed capacity of wind power in my country reached 91GW, ranking first in the world. Due to the harsh operating conditions of wind turbines and often affected by extreme weather, the components of the wind turbines will continue to age and fail with the increase of the cumulative operating time, resulting in high operating and maintenance costs for wind farms. According to statistics, gearbox-related failures of wind turbines cause the longest downtime and have the greatest impact on power production. Therefore, it is very necessary t...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of high cost caused by the need for additional sensors or the use of special oil testing equipment in the above-mentioned wind turbine gearbox condition monitoring technol

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