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

Aero-engine complete machine residual life prediction method based on gas path performance parameter graphic matching

A technology for aero-engine and life prediction, which is applied in the fields of electrical digital data processing, computer-aided design, special data processing applications, etc., can solve the problem of difficulty in accurately predicting the remaining life of the aero-engine, and achieves good robustness and high prediction accuracy. Effect

Active Publication Date: 2016-11-30
BEIHANG UNIV
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved in the present invention is: Aiming at the problem that the remaining life of an aero-engine is difficult to accurately predict, a method for predicting the remaining life of an aero-engine based on graphic matching of gas path performance parameters is proposed

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
  • Aero-engine complete machine residual life prediction method based on gas path performance parameter graphic matching
  • Aero-engine complete machine residual life prediction method based on gas path performance parameter graphic matching
  • Aero-engine complete machine residual life prediction method based on gas path performance parameter graphic matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, a method for predicting the remaining life of an aero-engine based on graph matching mainly includes the following steps:

[0025] The first step is to construct the engine performance degradation dictionary. By processing the historical data of the engine that has been running to failure, the degradation mode dictionary that can be referred to in the prediction is obtained. First, the sensor parameters with obvious rising or falling trends are selected to characterize the performance degradation of the engine. Secondly, the dimension reduction method is used to reduce the dimensionality of the data to obtain a one-dimensional performance degradation curve. Finally, the performance degradation data of these reference engines are stored according to certain specifications, which is convenient for subsequent r...

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 present invention provides an aero-engine complete machine residual life prediction method based on gas path performance parameter graphic matching to solve the problem that an aero-engine complete machine residual life is difficult to predict accurately. First, a degradation mode dictionary is constructed by using full-life history degradation data of engines of the same type. Secondly, sensor selection and state parameter dimensionality reduction are performed on data of a to-be-predicted engine. Then, graphic matching is performed on a recession trajectory of the to-be-predicted engine and recession trajectories of reference engines in the degradation dictionary, and life estimation of the to-be-predicted engine and similarity with the reference engines are obtained. Finally, the residual service life of the to-be-predicted engine is obtained via a similarity weighting strategy. According to the method, the residual service life of the aero-engine can be accurately predicted, and life prediction has a great significance for maintenance of the engine.

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 based on graphic matching of air path performance parameters. Background technique [0002] With the development of the modern aviation industry, the application range of various types of aircraft has become wider and wider, and the carrying capacity of a single aircraft has become stronger and stronger, followed by higher requirements for aircraft reliability and safety. Safety, reliability and economy are the three factors most concerned by aero-engine manufacturers, maintenance plants and airlines and other related departments, and they are also key indicators to measure the level of engine manufacturing. However, as the most important core component of the aircraft, the stability of the aero-engine is difficult to control due to many factors such as its complex structure, hig...

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
CPCG06F30/15G06F30/20G06F2119/04
Inventor 刘红梅李连峰吕琛马剑
Owner BEIHANG 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