Wind turbine generator key component reliability modeling method based on distribution function optimization

A technology of distribution functions and wind turbines, which is applied in CAD numerical modeling, design optimization/simulation, electrical digital data processing, etc., can solve the problems of inaccurate modeling and low fitting precision of distribution functions, and achieve improved accuracy and objectivity effect

Pending Publication Date: 2020-11-03
HUANENG NEW ENERGY CO LTD +2
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Benefits of technology

This patented describes an improved technique for predictive maintenance that uses multiple reliable distributions instead of just one single value from previous failures or performance metrics collected during operation. By performing this regression over these sources of variation, it can improve the quality control of wind power systems by providing more accurate results compared to current methods such as fault detection techniques alone.

Problems solved by technology

Technological Problem addressed in this patents relates to improving the reliancy of systems such as power transmission control systems with reliable performance monitoring tools. Current approaches involve analyzing smaller sample sizes and applying advanced techniques like Support Vector Regression (SVR), Multinomial moment Estimation Method(MSE). However these conventional solutions may result in poor predictor precision due to limited availabilities of training data during testing. Therefore, it becomes necessary to develop novel ways to accurately estimate parameters without sacrificially collecting representative experimental data.

Method used

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  • Wind turbine generator key component reliability modeling method based on distribution function optimization
  • Wind turbine generator key component reliability modeling method based on distribution function optimization
  • Wind turbine generator key component reliability modeling method based on distribution function optimization

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Embodiment Construction

[0093] The present invention will be further explained below in conjunction with specific embodiments and accompanying drawings.

[0094] see figure 1 , the present invention is a method for modeling the reliability of key components of wind turbines based on distribution function optimization, which specifically includes the following steps: (Please modify the following content according to the amendments to the claims part)

[0095] 1) Taking a certain type of wind turbine as the research object, the key components of the wind turbine are divided, and the division results of the key components of the wind turbine are referred to figure 2 ;

[0096] 2) Collect the historical fault interval time data of each key component of this type of wind turbine, and perform distribution function fitting on the historical fault interval time data of each key component. Here, the pitch system is taken as an example to describe the reliability modeling process of key components;

[0097]

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Abstract

The invention discloses a wind turbine generator key component reliability modeling method based on distribution function optimization, and the method comprises the steps: carrying out the distribution function fitting of fault interval time data of each key component of a wind turbine generator through five types of common reliability distribution functions; and adopting a maximum likelihood estimation method to perform estimation and effectiveness analysis on parameters of each distribution function. On the basis, the goodness of fit of different distribution functions of the key componentsis analyzed by utilizing a correlation coefficient method, a grey correlation degree method, a minimum distance method and a correlation entropy method, fitting optimization indexes of all the distribution functions of the key components are fused based on a DS evidence theory, the distribution functions of the key components are optimized, and thus the distribution type of the fault interval timeof each key component and the reliability function of the key components are determined; and the reliability function of the whole wind turbine generator is constructed by taking the reliability function of the key components as input.

Description

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Claims

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Application Information

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Owner HUANENG NEW ENERGY CO LTD
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