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A performance detection and health assessment method for wind turbine gearbox based on temperature parameters

A technology of health assessment and temperature parameters, which is applied in the direction of machine gear/transmission mechanism testing, mechanical component testing, machine/structural component testing, etc., can solve the problem of single selection of predicted state parameters, lack of reliability of gearbox health analysis, Predictive model input parameter selection and processing lack of common criteria and other issues, to achieve accurate results, simple and intuitive, high reliability, and strong learning speed

Active Publication Date: 2021-11-02
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

[0003] Considering the large variety and nonlinear characteristics of wind turbine SCADA parameters, there is a lack of general guidelines for the selection and processing of the input parameters of the prediction model
Moreover, the choice of predicted state parameters is single, and the health analysis of the gearbox based on a single state lacks reliability. Therefore, a state assessment method for wind turbine gearboxes based on state detection and prediction models is proposed.

Method used

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  • A performance detection and health assessment method for wind turbine gearbox based on temperature parameters
  • A performance detection and health assessment method for wind turbine gearbox based on temperature parameters
  • A performance detection and health assessment method for wind turbine gearbox based on temperature parameters

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Embodiment Construction

[0041] The invention is mainly aimed at the problem that the fan data collected by the SCADA system is multi-variable, multi-working-condition and highly coupled data, and has nonlinearity, and the effect of traditional analysis methods is not ideal. The present invention mainly uses the SCADA operation and maintenance data collected by a 1.5MW unit of a certain wind field to prove the validity of the algorithm. The following is an introduction to the operation and maintenance data: The time for collecting the operation and maintenance data of wind turbines is from February 21 to April 16, 2016. The fan was shut down on April 16, 2016 due to a high temperature failure of the main shaft, and the faulty component was the gearbox.

[0042]The method of the present invention realizes gearbox performance detection and health assessment, mainly including three steps of detecting the state of the wind turbine unit, predicting the gearbox oil temperature and gearbox bearing temperatur...

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Abstract

The invention discloses a performance detection and health assessment method of a wind turbine gearbox based on temperature parameters. Through the analysis of the wind turbine state detection data, combined with the characteristics of the wind turbine operation, the model established by combining KECA and GRNN is used to analyze the gearbox temperature and gear The state detection and fault prediction of the gearbox bearing temperature are carried out, and according to the predicted residual, the evaluation decision is made on the operation state of the wind turbine gearbox through the threshold value discrimination and the idea of ​​statistical process control. At the same time, the health status of the gearbox is obtained by comprehensive fuzzy discrimination. Applying this method to an actual wind turbine case with small sample data can achieve accurate prediction and evaluation of the health status of wind turbines. The method of the invention is applied to an actual wind turbine with small sample data, and can realize accurate prediction and evaluation of the health state of the wind turbine.

Description

technical field [0001] The invention is a performance detection and health assessment method applied to wind turbine gearboxes, especially considering the characteristics of a large number of diverse and nonlinear SCADA parameters of wind turbines, and improving the reliability of the gearbox health assessment method; it belongs to data-driven state detection, Fault early warning and health assessment technology field. Background technique [0002] With the continuous increase of human energy requirements and the rapid development of the power industry, the wind power industry has become the main development trend of clean energy due to its relatively low cost, abundant wind resources, and green energy. The maintenance cost after the completion of the wind farm directly determines the benefit of the wind farm. The wind power project is a project with a long investment time, about 7 years, and the profit period is also very long, even more than 10 years. Long-term operation ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/022
CPCG01M13/02
Inventor 齐咏生李永亭景彤梅刘利强樊佶
Owner INNER MONGOLIA UNIV OF TECH
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