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On-line monitoring method for working condition of gearbox of wind turbine generator

A technology for wind turbines and gearboxes, which is applied in the testing of mechanical components, testing of machine/structural components, and measuring devices. It can solve the problems of single monitoring method and low detection accuracy, and achieve the effect of online monitoring.

Pending Publication Date: 2022-04-08
HUANENG NEW ENERGY CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above deficiencies, the present invention provides a new online monitoring technology for the working condition of the wind turbine gearbox based on the gearbox speed ratio, so as to alleviate the low detection accuracy and single monitoring method in the existing on-line monitoring scheme for the working condition of the wind turbine gearbox. question

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  • On-line monitoring method for working condition of gearbox of wind turbine generator
  • On-line monitoring method for working condition of gearbox of wind turbine generator
  • On-line monitoring method for working condition of gearbox of wind turbine generator

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Embodiment

[0040] The embodiment of the present invention uses 520,000 data points from five wind turbines in a wind power plant in Jiangxi, each with a production capacity of 2MW, and the data recording time is from the beginning of 2018 to the end of 2019 with an interval of 10 minutes. The data contains a total of 85 data elements of the unit components, including the minimum value, maximum value and standard deviation of 10-minute intervals. This embodiment extracts and uses the main data elements related to the gearbox such as rotor speed, generator speed, wind speed and power generation.

[0041] Step 1: Data Acquisition

[0042] For wind turbine data sets, cluster analysis is performed using active power, wind speed, rotor speed, and blade pitch angle. The clustering algorithm used in this embodiment is Normal Mixture, which is an effective classification method for large data sets with overlapping clusters. Algorithm, while using AIC (Akaike Information Criterion) as a measure of...

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Abstract

The online monitoring method for the working condition of the gearbox of the wind turbine generator comprises the following steps: acquiring fan operation data in different operation modes; grouping the fan data by using a method based on statistical clustering; identifying the operation mode of the wind turbine generator according to the data features of the grouping result; different types of gear states are distinguished based on different operation modes, grouped data are used for fitting a linear regression training model and outputting a gear speed ratio changing along with time, and the gear abrasion condition is quantitatively judged; obtaining an average gear speed ratio residual error according to a prediction result of the linear regression training model and the actual operation data; and fault identification and monitoring of different types of gearboxes are realized by analyzing the residual error of the average speed ratio, so that on-line monitoring of the working condition of the fan gearbox is realized.

Description

technical field [0001] The present application belongs to the field of wind power generation, in particular to an online monitoring method for the working condition of a wind turbine gearbox. Background technique [0002] In the process of rapid development of wind power generation, the high operation and maintenance costs of wind turbines have seriously affected the economic benefits of wind power plants. For the entire wind turbine, the failure rate of gearboxes is usually the highest. Although my country is a big wind power country, wind power There is still a big gap between the design and manufacture of the unit and the international advanced level, resulting in a failure rate of gearboxes in my country as high as 40%. At the same time, the downtime and maintenance of wind turbines caused by gearbox failures will not only reduce the production efficiency of the unit, but also cause high maintenance costs. cost. In order to reduce the operation and maintenance cost of win...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/021G01M13/028G06K9/62G06F17/18
Inventor 刘庆伏王宏伟王振福白志深靳江江陈卓岳红轩王真涛徐峰冯翔宇梁思超陈志文
Owner HUANENG NEW ENERGY CO LTD
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