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

A method for predicting the remaining life of rotating machinery based on fda and svdd

A technology for rotating machinery and life prediction, applied in geometric CAD, computer parts, character and pattern recognition, etc., can solve the problems of large collection and limited life prediction accuracy of samples, to prevent the loss of information, improve recognition accuracy and The effect of recognition speed

Inactive Publication Date: 2020-04-17
HARBIN UNIV OF SCI & TECH
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data-driven prediction method directly uses the relevant historical service information and online status monitoring information of the research object and the group as the data source, and extracts relevant features through a certain signal processing technology to predict the remaining life, and has been more and more researched. , but a large number of samples need to be collected and the accuracy of life prediction is limited

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 method for predicting the remaining life of rotating machinery based on fda and svdd
  • A method for predicting the remaining life of rotating machinery based on fda and svdd
  • A method for predicting the remaining life of rotating machinery based on fda and svdd

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0026] The invention provides a method for predicting the remaining life of rotating machinery based on FDA and SVDD. The method uses a functional data analysis (FDA) method to convert the collected discrete data into a smooth function to solve the loss of information or the distortion of model estimation. Problem, use SVDD to identify mechanical operating conditions to reduce the need for sample collection and improve prediction accuracy, calculate the SVDD model radius of the test sample and compare it with the time radius trajectory of the entire life...

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 method for predicting the remaining life of rotating machinery based on FDA and SVDD. The method uses a functional data analysis (FDA) method to convert the collected discrete data into a smooth function to solve the loss of information or the distortion of model estimation. and other issues, using SVDD to identify mechanical operating conditions to reduce the need for sample collection and provide prediction accuracy, calculate the SVDD model radius of the test sample and compare it with the time radius trajectory of the entire life cycle to obtain prediction results. The invention effectively reduces the sample collection time required for the prediction of the remaining life of the rotating machinery, and improves the prediction accuracy.

Description

technical field [0001] The invention relates to a method for predicting the remaining life of a rotating machine, in particular to a method for predicting the remaining life of a rotating machine based on FDA and SVDD. Background technique [0002] Functional Data Analysis (FDA) method is a new branch of statistics. The concept of functional data was first proposed by Canadian scholar J.O. Ramsay, pointing out that modern sophisticated data collection systems can obtain a series of functional data, and observation data should be regarded as a dynamic concept, which can be solved by traditional data analysis methods. Research will bring problems such as loss of information or distortion of model estimation, which are mainly used in the fields of biomedicine and economics, and rarely involved in the field of mechanics. [0003] Support vector data description (Support vector data description, SVDD) was proposed by Tax and Duin, based on statistical learning theory, to establi...

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): G05B13/04
CPCG05B13/042G06F30/17G06F18/2411
Inventor 王亚萍赵强葛江华许迪匡宇麒
Owner HARBIN UNIV OF SCI & TECH
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