Electrostatic characteristic parameter-based engine performance degradation early warning method

A characteristic parameter and engine technology, applied in the field of aero-engine condition monitoring, fault diagnosis and system health management, to achieve the effect of easy real-time online monitoring

Pending Publication Date: 2021-07-09
ZHENGZHOU UNIVERSITY OF AERONAUTICS
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition to safety and reliability factors, economy is another problem

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
  • Electrostatic characteristic parameter-based engine performance degradation early warning method
  • Electrostatic characteristic parameter-based engine performance degradation early warning method
  • Electrostatic characteristic parameter-based engine performance degradation early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Attached below figure 1 and 2 The present invention is described in further detail.

[0028] An early warning method for engine performance degradation based on electrostatic characteristic parameters. Firstly, the change law of electrostatic monitoring characteristic parameters and the joint probability distribution of characteristic parameters are obtained from engine bench experiments, and the characteristic parameters are modeled and analyzed with a state space model. The class analysis method is used to complete the parameter identification and establish a performance degradation behavior characterization model, integrate conventional state monitoring information and electrostatic monitoring information, and combine engine performance indicators to construct an early warning method for engine performance degradation. Obtain electrostatic monitoring data through engine bench experiments, judge the relationship between monitoring data and engine performance, determi...

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 an engine performance degradation early warning method based on static characteristic parameters. The method comprises the following steps: acquiring a change rule of static monitoring characteristic parameters and characteristic parameter joint probability distribution through an engine pedestal experiment, and modeling and analyzing the characteristic parameters by using a state space model; employing a multi-dimensional data space clustering analysis method for completing parameter identification, establishing a representation model of performance degradation behaviors, integrating conventional state monitoring information and static monitoring information, combining engine performance indexes, and constructing the engine performance degradation early warning method. The method is high in functionality, provides reference for engine performance prediction trend, and can be widely applied to the technical fields of aero-engine state monitoring, fault diagnosis and system health management.

Description

technical field [0001] The present invention relates to the fields of aero-engine state monitoring, fault diagnosis and system health management, specifically a method for early warning of engine performance degradation based on electrostatic characteristic parameters, and more specifically, exploring the failure mechanism of aero-engine air circuit components through an electrostatic sensing method and the mapping relationship between static monitoring signal features. Background technique [0002] The health status of an aero-engine is the decisive factor for the safety and reliability of aircraft operation. However, the current materials, design, production, process and maintenance cannot fully guarantee the reliability, durability and maintainability of the engine in use, and cannot ensure flight safety and reliability. Therefore, it is necessary to make an accurate assessment of the engine's health status based on the engine's condition monitoring system. In addition ...

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): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 文振华郭霄任淑红方鹏亚李树豪
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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