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

Method for predicting complete residual life of aero-engine under variable working conditions based on working condition identification and similarity matching

An aero-engine, similarity matching technology, applied in character and pattern recognition, computer parts, computer-aided design, etc., can solve the problem of difficulty in predicting the remaining life of the aero-engine, and achieve strong anti-interference ability and good robustness. , the effect of high prediction accuracy

Inactive Publication Date: 2016-10-12
北京恒兴易康科技有限公司
View PDF1 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method for predicting the remaining life of an aero-engine under variable conditions based on working condition identification and similarity matching for the problem that it is difficult to predict the remaining life of an aero-engine under variable conditions

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
  • Method for predicting complete residual life of aero-engine under variable working conditions based on working condition identification and similarity matching
  • Method for predicting complete residual life of aero-engine under variable working conditions based on working condition identification and similarity matching
  • Method for predicting complete residual life of aero-engine under variable working conditions based on working condition identification and similarity matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0027] Such as figure 1 As shown, the method for predicting the remaining life of an aero-engine under variable operating conditions based on operating condition identification and similarity matching, the specific steps are as follows:

[0028] 1 working condition identification

[0029] Complex working condition changes often conceal the performance degradation of aero-engines. In order to restore the real degradation trend, a strategy of first identifying the working conditions of each state and then standardizing the data is adopted. The invention adopts the K-means clustering algorithm to cluster and classify the operating condition parameters, so as to identify the operating condition information of each state of the system. In data mining, the K-means clustering algorithm is widely used and is one of the classic clustering algorithms. ...

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 complete residual life of an aero-engine under variable working conditions based on working condition identification and similarity matching. According to the method, the problem that the complete residual life is difficult to predict due to degradation trend of the real performance, covered by complex working condition variation, of the aero-engine is focused to be solved. The method comprises the following steps: identifying operation conditions of the aero-engine; carrying out data standardization on historical degradation data under different working conditions; carrying out sensor selection and parameter dimensionality reduction on the standardized data; matching degeneration tracks of each reference engine and a to-be-predicted engine by virtue of a similarity matching method, so as to obtain an estimated value of the residual life of the to-be-predicted engine and the similarity distance between the reference engine and the to-be-predicted engine; and generating a weight according to the similarity distance, and weighing life estimated values, so as to obtain the residual life of the to-be-predicted engine. By verification, the method has relative high prediction accuracies for different engine test samples.

Description

technical field [0001] The invention relates to the technical field of forecasting the remaining life of an aero-engine, in particular to a method for predicting the remaining life of an aero-engine under variable working conditions based on working condition identification and similarity matching. Background technique [0002] At present, my country's aviation industry is in a vigorous development stage, but there are still problems such as high maintenance and repair costs. As the core power source of an aircraft, an aeroengine is a large and complex device that requires extremely high safety and reliability, and costs a lot in design, production and maintenance. According to the data, from 1963 to 1975, there were 3824 flight accidents of fighter jets of the U.S. Air Force, of which 1664 were due to engine accidents, accounting for 43.5% of the total; from 1994 to 2000, the world's air transport aircraft A total of 279 accidents, about 20% of which are due to engine fail...

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): G06F17/50G06K9/62
CPCG06F2119/04G06F30/15G06F18/23213
Inventor 刘红梅李连峰吕琛马剑
Owner 北京恒兴易康科技有限公司
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