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A fault early warning method for a wind turbine gearbox

A wind turbine, fault warning technology, applied in computer components, computer-aided design, electrical digital data processing, etc.

Active Publication Date: 2022-03-01
HEBEI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a fault early warning method for wind turbine gearboxes to solve the problem that existing fault diagnosis methods cannot predict the state of equipment in advance

Method used

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  • A fault early warning method for a wind turbine gearbox
  • A fault early warning method for a wind turbine gearbox
  • A fault early warning method for a wind turbine gearbox

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Experimental program
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Embodiment Construction

[0034] The present invention will be described in detail below through specific examples.

[0035] Such as figure 1 As shown, the wind turbine gearbox fault early warning method of the present invention includes the following steps:

[0036] S1. Taking the A12 wind turbine operating in a certain place in Zhangjiakou as an example, using the SCADA data during its operation period from September 26, 2018 to January 26, 2019 as the data source, it is known that the A12 wind turbine was operated on December 2018. A fault alarm occurred at 6:00 on the 26th. Therefore, a total of 13,142 pieces of data from September 26, 2018 to December 26, 2018 during the operation period were finally selected as the SCADA data of the selected A12 wind turbine. multiple stages of manifestation. The SCADA data sources of wind turbines include more than 70 types of parameters, including 7 types of parameters related to the nacelle and the environment, 2 types of parameters related to the main shaf...

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Abstract

The invention discloses a fault early warning method for a gearbox of a wind turbine. The method includes the following steps: S1. Data acquisition, acquiring data and records in the SCADA system of a wind turbine that needs early warning of a gearbox fault, and the time span should include wind power Multiple stages such as normal operation of the unit, fault formation, and fault appearance; S2, selection of wind speed, generator speed, generator active power, gearbox temperature, and historical data of the gearbox temperature at the previous moment; S3, data preprocessing, and deletion of abnormalities data, and then normalize the data; S4, use the above five parameters to establish an NSET temperature prediction model; S5, use the established NSET model to predict the gearbox temperature, and obtain the residual between the actual value and the predicted value; S6, determine the residual The difference threshold, when the residual exceeds the threshold, an alarm message will be sent. The invention utilizes the 3σ-median criterion method to eliminate abnormal values ​​in the SCADA data, greatly improving the data cleaning efficiency, and then realizes the fault early warning of the wind turbine gearbox by using the NSET method.

Description

technical field [0001] The invention relates to a fault early warning technology for a wind turbine, in particular to a fault early warning method for a gearbox of a wind turbine. Background technique [0002] There are abundant sources of operating data for wind turbines, among which the data acquisition and monitoring and control system (SCADA) equipped with the turbine itself will generate a large amount of operating data every day. Reasonable use of these information-rich SCADA data can realize fault diagnosis of wind turbines to improve The operational reliability and power quality of the unit. [0003] Nonlinear state estimation is a data-driven method, and the nonlinear state estimation modeling (NSET) method has been widely used in various aspects of the industrial field. [0004] The gearbox is a key part of the wind turbine. Its structure is complex, the design is compact, and the coupling between the components is strong. In addition, under the condition of varia...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17G06F30/27G06K9/62G06F113/06G06F119/08
CPCG06F30/17G06F30/27G06F2113/06G06F2119/08G06F18/214
Inventor 张照彦王少科王培光田亚茹付磊姜萍
Owner HEBEI UNIVERSITY