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

Fan blade impulse load recognition method

A technology of impact load and fan blades, which is applied in the field of mechanical system status monitoring, can solve problems such as ill-posedness, and achieve the effects of high precision, less time-consuming, and fast convergence speed

Active Publication Date: 2015-04-22
XI AN JIAOTONG UNIV
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a load identification method based on the conjugate gradient least squares iterative regularization algorithm whose identification accuracy is better than the classic Landweber iterative regularization algorithm, which is used to solve the ill-posed problem existing in the current fan blade impact load identification

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
  • Fan blade impulse load recognition method
  • Fan blade impulse load recognition method
  • Fan blade impulse load recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Attached below Figure 1-6 To further describe the present invention and a specific embodiment, it should be emphasized that the following description is only exemplary, and the application object of the present invention is not limited to the following examples.

[0033] figure 1 It is a flow chart of an impact load identification method for fan blades completed by the present invention. The method is based on the conjugate gradient least squares iterative algorithm. It can be known that the method uses the conjugate gradient least squares method according to the measured frequency response function and acceleration signal. The multiplication regularization iterative algorithm combined with the heuristic convergence criterion overcomes the ill-conditioned problems in load identification and achieves the purpose of load identification. The specific steps are as follows:

[0034] 1) Measure the frequency response function and calculate the transfer matrix. The hammerin...

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 fan blade impulse load recognition method. Based on the conjugate gradient least-squares iteration algorithm, the method comprises the following steps that (1), a hammering method is adopted for measuring the frequency-response function between a position point where an impulse load is exerted on a fan blade and a response measure point of the fan blade, inverse fast fourier transformation is used for obtaining a unit impulse response function, and therefore a transfer matrix is obtained through deconvolution; (2), an acceleration sensor is used for measuring acceleration response signals generated by the impulse load which acts on the fan blade; (3), the number of iterations, loads to be recognized, response residuals and iteration searching directions of the conjugate gradient least-squares iteration algorithm are initialized; (4), the number of iterations, loads to be recognized, response residuals, the conjugate gradient coefficients and the iteration searching directions under the current number of iterations are updated; (5) whether a heuristic type convergence termination criterion is met is judged; (6) regularized loads to be recognized are obtained.

Description

technical field [0001] The invention belongs to the field of mechanical system state monitoring, and in particular relates to a method for identifying impact loads of fan blades. The method is based on a conjugate gradient least squares iterative algorithm. Background technique [0002] Nowadays, composite materials have been widely used on the fan blades of wind power generation. During the operation and maintenance of the fan, it is unavoidable to be impacted by foreign objects such as wind and sand, flying birds, hail, and maintenance tools, and the frequency of occurrence is high. The accumulation of damage will pose a safety hazard to the integrity and bearing capacity of the wind turbine blade. Therefore, identifying the impact load of the fan blade is of great significance to the normal operation and maintenance of the fan, and also has guiding significance for the evaluation of the safety performance of the blade. The health monitoring of fan blades is divided into ...

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): G06F19/00G01M13/00
Inventor 陈雪峰乔百杰张兴武杨志勃翟智
Owner XI AN JIAOTONG UNIV
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