Fatigue crack assessment method based on adaptive kernel density estimation auxiliary particle filtering

A technology that assists particle filtering and kernel density estimation. It is applied in the field of computer simulation and can solve problems such as particle scarcity.

Active Publication Date: 2019-08-16
BEIHANG UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention aims at the defects in the above-mentioned prior art, and the purpose of the present invention is to propose a fusion adaptive kernel density estimation resampling improvement based on the particl

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
  • Fatigue crack assessment method based on adaptive kernel density estimation auxiliary particle filtering
  • Fatigue crack assessment method based on adaptive kernel density estimation auxiliary particle filtering
  • Fatigue crack assessment method based on adaptive kernel density estimation auxiliary particle filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0051] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0052] figure 1 A fatigue crack assessment method based on adaptive kernel density estimation assisted particle filter of the present invention is shown, the method includes the following steps:

[0053] S1. Determine the key evaluation components: For the structural compon...

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 provides a fatigue crack assessment method based on adaptive kernel density estimation auxiliary particle filtering. The method comprises the following steps of: determining a key assessment part, constructing a state equation and an observation equation of the fatigue crack random expansion model; and constructing a nonlinear state space model to describe an evaluation process of fatigue crack propagation, and performing simulation calculation of a crack propagation state on the nonlinear state space model of fatigue crack propagation of the rotorcraft structure based on a self-adaptive kernel density estimation auxiliary particle filtering method. The invention corrects a re-sampling step by using a kernel density estimation method under the condition that a state model isuncertain, so that the resampled particles maintain diversity and improve the accuracy of the filtering estimation result. An adaptive kernel bandwidth selection scheme is proposed by using particle weights to obtain better kernel density estimation results and applied to the particle filter framework. The estimation accuracy of fatigue crack propagation is improved, and the safety of the rotorcraft structure is improved.

Description

technical field [0001] The invention belongs to the technical field of computer simulation, in particular to a fatigue crack assessment method based on adaptive kernel density estimation assisted particle filter. Background technique [0002] The performance reliability of systems such as rotorcraft structures, which are riveted joints used in helicopter canopy covers, is usually affected by potential degradation mechanisms within the system, such as fatigue, wear, corrosion, etc., which eventually lead to System failure. Based on the historical degradation data of the system or the measured data of the degradation experiment, the degradation process of the system can be dynamically described by various models including random factors. With the advancement of sensor technology, the degradation state of the system in working state can be estimated by real-time monitoring of sensors. In recent years, this kind of degradation state assessment method based on degradation model...

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): G06F17/50
CPCG06F2119/04G06F30/15G06F30/20
Inventor 林焱辉焦鑫磊
Owner BEIHANG 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap