Blade fault diagnostic method based on strain energy response of wind-driven generator

A fault diagnosis and strain energy technology, which is used in the testing of mechanical components, the testing of machine/structural components, and special data processing applications. problem, to achieve the effect of simple and easy diagnosis method, improve reliability and improve efficiency

Inactive Publication Date: 2011-09-07
TIANJIN POLYTECHNIC UNIV
View PDF7 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Through-cavity trachoma will cause water to enter the blade during the rainy season, resulting in a decrease in the lightning protection index and lightning strike blade accidents
For about six years, the blades of some coastal wind turbines have been worn to the limit, and the windward surface of the blades is completely uneven with sand holes, the running resistance of the blades increases, and the power generation decreases.
The current blade vibration fault can only monitor the frequency change below 100HZ, that is, the severe vibration caused by strong wind can activate the monitoring and alarm system and make the entire wind turbine brake. However, it is very difficult to repair and maintain because the type and location of the fault are unknown. ; On the other hand, the first 20 natural frequencies of large wind turbine blades are only a few hertz, which belongs to extremely low frequency vibration. Therefore, effective diagnosis of blade faults cannot be realized at present

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
  • Blade fault diagnostic method based on strain energy response of wind-driven generator
  • Blade fault diagnostic method based on strain energy response of wind-driven generator
  • Blade fault diagnostic method based on strain energy response of wind-driven generator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described in detail below through the specific examples, the following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention with this.

[0044] A blade fault diagnosis method based on wind turbine strain energy response, the wind turbine blade is mainly composed of blade spine 13; leaf cover 14; blade edge 15, the steps of the diagnosis method are:

[0045] (1) Through the dynamic modeling and modal analysis and calculation of the wind turbine, the first M-order natural frequency and mode of the blade of the wind turbine are obtained, 15≤M≤20;

[0046] (2) For wind turbines, simulate blade rotation excitation loading through finite element calculations, and obtain the time-domain response of strain energy corresponding to the setting point 16 of the front M-order nacelle sensor of wind turbine blades, and then calculate the time-domain response of strain energy into Strain en...

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 relates to a blade fault diagnostic method based on a strain energy response of a wind-driven generator, which comprises the following steps of: (1) obtaining the natural frequencies and the modes of the first M orders of the blade of a wind generator set by performing dynamic modeling and model analytical calculation to the wind generator set; (2) simulating the rotational excitation load of the blade through finite element calculation to the wind generator set to obtain strain energy time domain responses corresponding to the cabin sensor set points of the first M orders of the blade of the wind generator set, and then calculating strain energy frequency domain responses; and (3) obtaining the running state characteristic values of the blade of the wind generator set from the strain energy frequency domain responses corresponding to the cabin sensor set points of the first M orders of the blade of the wind generator set through the strain energy and the rate of change thereof and the method of a support vector machine, and then comparing to obtain a diagnostic result. The blade fault diagnostic method based on the strain energy response of the wind-driven generator related to the invention is simple and easy, high in sensitivity and accuracy and low in diagnostic cost, and can effectively improve the safety and reliability of the blade of the wind generator set and accurately perform fault point positioning, fault qualification and prediction for the blade.

Description

technical field [0001] The invention belongs to the field of wind power generating sets, in particular to a blade fault diagnosis method based on the strain energy response of the wind power machine. Background technique [0002] With the advancement of wind turbine manufacturing technology and the increasing demand for energy, the development of wind turbines in my country is showing a trend of large-scale and marine. Blades are the key components of wind turbines to capture wind energy and are crucial to the normal operation of wind turbines. The blades of large-scale wind turbines weigh more than ten tons and are expensive to manufacture. Generally, the design life of wind turbine blades is more than 20 years, but the environment in which wind turbines are mostly located is very harsh. In particular, compared with onshore wind turbines, offshore wind turbines have more complex operating conditions. Therefore, under normal circumstances, after two years of operation of t...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G01M1/16G01H17/00G06F19/00
Inventor 徐玉秀邢钢杨伟
Owner TIANJIN POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products