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Fault early warning method and system for wind turbine pitch system

A pitch system and wind turbine technology, applied in the field of online monitoring and analysis of wind power technology, can solve problems such as low early warning sensitivity, lack of system state early warning algorithm, failure to provide early warning of faults, etc., and achieve the effect of improving operational reliability

Active Publication Date: 2019-04-05
北京中恒博瑞数字电力科技有限公司 +1
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AI Technical Summary

Problems solved by technology

However, the existing SCADA system single-parameter absolute threshold evaluation lacks an effective system state early warning algorithm. When the monitoring data exceeds the threshold, an alarm message is given, which is easy to generate a large number of false alarm information or only when the fault has deteriorated to a certain extent. Alarm, early warning The sensitivity is low, and it cannot play the role of fault warning

Method used

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  • Fault early warning method and system for wind turbine pitch system
  • Fault early warning method and system for wind turbine pitch system
  • Fault early warning method and system for wind turbine pitch system

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Embodiment Construction

[0020] The fault early warning method for the pitch system of the wind turbine comprises the following steps:

[0021] (1) Collect the real-time operating parameters and temperature data of the wind turbines in each wind farm, and read the associated operation data of the pitch system of the wind turbines from the collected data;

[0022] (2) Data preprocessing: including data validity judgment and data normalization processing; data validity judgment is to eliminate abnormal data through unilateral point data screening and correlation measurement point comparison; data normalization processing is to reduce collection Different equipment causes differences between different collection points or different fan data, and at the same time, the data is limited to the input data range required for fault analysis;

[0023] (3) Feature extraction: extract the characteristic parameters reflecting the operating state of the pitch system;

[0024] (4) Construct an early warning algorith...

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Abstract

The invention discloses a fault early warning method for a wind generation set variable-pitch system. The fault early warning method includes the steps: (1) acquiring real-time running parameters and temperature data of a wind generation set in each wind power farm, and reading running data related to the wind generation set variable-pitch system from the acquired data; (2) preprocessing the data by judging effectiveness of the data and normalizing the data; (3) extracting characteristics; (4) building an early warning algorithm model. The invention further provides a fault early warning method for the wind generation set variable-pitch system.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring and analysis of wind power technology, and in particular relates to a fault early warning method and system for a wind turbine pitch system. Background technique [0002] The pitch system of wind turbines is an important part of megawatt-scale variable-speed constant-frequency wind turbines today, and plays an important role in ensuring the safe, efficient and stable operation of the wind turbines. Since the unit is installed at the air outlets of mountains, wilderness, beaches, islands, etc., it is affected by the wind force of irregular direction and load changes and the impact of strong gusts. The pitch control system controls the speed of the wind wheel by controlling the angle of the blades, and then controls the fan. Therefore, the impact of frequent load and speed changes makes it one of the components with a high failure rate in wind turbines. Intelligent early warning of fault...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M15/00
Inventor 杨晓王进峰王建明范孝良周庆捷
Owner 北京中恒博瑞数字电力科技有限公司
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