Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A virtual sample expansion method based on historical data of mechanical products

A virtual sample and mechanical product technology, applied in the field of virtual sample expansion, can solve the problem of less research on virtual sample generation methods, and achieve the effect of solving the insufficient number of samples

Active Publication Date: 2021-04-30
ZHEJIANG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are few studies on virtual sample generation methods for regression problems

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
  • A virtual sample expansion method based on historical data of mechanical products
  • A virtual sample expansion method based on historical data of mechanical products
  • A virtual sample expansion method based on historical data of mechanical products

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0125] figure 1 It is a flow chart of the virtual sample expansion method implemented by the method example. Such as figure 1 As shown, the mechanical field-oriented virtual sample expansion method based on historical data proposed by the present invention includes the following steps:

[0126] (1) Read the existing real historical data of the research question, extract effective measured samples, and obtain potential parameters based on the actual samples.

[0127] In this example, the handle base assembly is taken as an example to illustrate, figure 2 is a schematic diagram of an example assembly of this method. The assembly consists of two components: the handle and the base. Although the structure is relatively simple, the assembly contains 3 dimensional tolerance variables and 4 typical shape and position tolerances; image 3 The 7 tolerance elements and related dimensions of the above-mentioned mechanical product assembly are marked.

[0128] The assembly is analy...

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 virtual sample expansion method based on historical data of mechanical products. First, the virtual sample capacity of the virtual sample in the small sample problem is determined according to the measured historical data; then, based on the historical data of mechanical production and prior knowledge related to mechanical production, Constructed a sample pool for generating virtual samples; then sampled samples based on the "roulette" sampling idea, and designed virtual sample generation rules based on the idea of ​​agent model and Jacobian screw theory; finally judged that the conditions were retained and feasible through the rationality of the samples The expansion sample, thus realizing the expansion of the virtual sample training for the small sample regression problem for the prediction of mechanical assembly accuracy. The achievement of the invention can be used to expand the sample capacity of small-capacity sample machine learning training models, which can solve the problem of insufficient number of samples encountered in the prediction of mechanical assembly accuracy, and is of great significance to the use of machine learning regression methods to study the small sample problem of tolerance transfer of customized products .

Description

technical field [0001] The invention relates to a method for expanding the capacity of a virtual sample, in particular to a method for expanding the capacity of a virtual sample based on historical data of mechanical products. Background technique [0002] Machine learning techniques based on large sample data have been widely used in different fields. With the introduction of the concept of intelligent manufacturing, the combination of machine learning technology and the mechanical field is becoming increasingly close. However, with the continuous improvement of mechanical design and manufacturing level, mechanical products have a trend of diversified design requirements, non-standardized and personalized customized production, which leads to some problems in the mechanical field no longer have the conditions to generate large-capacity sample data, thereby limiting application of machine learning techniques. [0003] At present, machine learning in the mechanical field is...

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 Patents(China)
IPC IPC(8): G06F30/27G06F16/21G06K9/62G06N20/00G06F111/08G06F111/04
CPCG06F16/211G06F18/214
Inventor 裘乐淼李恒张树有王自立谭建荣
Owner ZHEJIANG 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
Eureka Blog
Learn More
PatSnap group products