Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wind turbine generator main shaft bearing fault prediction method

A main shaft bearing and fault prediction technology, applied in the direction of mechanical bearing testing, computer parts, instruments, etc., can solve problems such as easy to cause false alarms, insufficient pertinence, and inability to locate faults to specific components, achieving short time-consuming, classification The effect of high accuracy and improved accuracy

Inactive Publication Date: 2020-01-10
GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there have been many studies on early warning of wind turbines, many of which combine wind speed based power anomaly methods to early warning; on the one hand, this type of method is not pertinent enough to locate the fault to specific components; on the other hand, the This type of method does not make enough use of the existing data and its fan indicators, which is likely to cause false positives

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wind turbine generator main shaft bearing fault prediction method
  • Wind turbine generator main shaft bearing fault prediction method
  • Wind turbine generator main shaft bearing fault prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be further described below in conjunction with specific embodiments.

[0046] The method for predicting the fault of the main shaft bearing of the wind turbine provided in this embodiment is based on the historical fault maintenance data of the main shaft bearing of the fan, combined with statistics and machine learning methods, using multiple monitoring indicators of the fan as input variables, and the state of the main shaft bearing as the predicted output Variables, and statistically analyze the predicted values ​​of output variables, and set thresholds for fault prediction; it includes the following steps:

[0047] 1) Data exploration: select the data of the week before the spindle bearing wear failure of the wind turbine, do quality analysis and characteristic analysis of all monitoring indicators, view the data quality and data distribution, etc., refer to the attachment Figure 1a , 1b , 1c and 1d show the data distribution of some monitoring ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a wind turbine generator main shaft bearing fault prediction method. According to the method, based on historical fault maintenance data of a main shaft bearing of a draught fan, statistics and a machine learning method are combined, multiple monitoring indexes of the draught fan serve as input variables, the state of the main shaft bearing serves as a prediction output variable, statistical analysis is conducted on a prediction value of the output variable, and a threshold value is set for fault prediction. The method has high accuracy and stability, and can predict the fault of the main shaft bearing one week in advance and discover early abnormality as soon as possible.

Description

Technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for predicting the failure of a main shaft bearing of a wind turbine. Background technique [0002] With the continuous development of wind power technology, large-megawatt and low-speed wind turbines have emerged in recent years, and substantial progress has been made in the development and commissioning of offshore large-megawatt compact units. [0003] The main shaft bearing is a key component of the drive system of a wind turbine. Due to the influence of random natural wind, it bears a huge random impact force, resulting in many types of failures. Once the main shaft bearing fails, if it is not maintained in time, it will force the unit to shut down to replace expensive components, or damage the entire unit and cause huge losses. [0004] At this stage, the wind farm is mainly performing routine maintenance, and the status assessment and fault diagnosis of the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G01M13/04
CPCG01M13/04G06F18/2148G06F18/24
Inventor 凌永志孙启涛银磊
Owner GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com