Check patentability & draft patents in minutes with Patsnap Eureka AI!

Blade vibration characteristic identification method and system based on compressed sensing

A compressed sensing and blade technology, which is used in vibration testing, special data processing applications, and testing of machine/structural components to improve identification accuracy, eliminate noise effects, and improve the quality of blade-end timing sampling signals

Active Publication Date: 2019-06-11
XI AN JIAOTONG UNIV
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional monitoring method of blade vibration characteristics cannot meet the needs of online monitoring of blades. Therefore, in order to detect common cracks and foreign object damage accidents of blades, it is necessary to develop a higher-precision online monitoring method of blade vibration characteristics.

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
  • Blade vibration characteristic identification method and system based on compressed sensing
  • Blade vibration characteristic identification method and system based on compressed sensing
  • Blade vibration characteristic identification method and system based on compressed sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Attached below Figure 1 to Figure 8 and Examples describe the present invention in detail, but not as a limitation of the present invention.

[0020] In one embodiment, the present disclosure discloses a compressive sensing-based blade vibration feature identification method, such as figure 1 shown, including the following steps,

[0021] S1. A compressed sensing model is established for the sampling process of the timing signal at the blade end.

[0022] S2. Based on the ANSYS simulation software drawing and analysis of the blade Campbell diagram, determine the resonance speed range to be measured; based on the diameter of the blade tip timing sensor used, determine the minimum installation interval of the blade tip timing sensor; based on the engine case structure used, determine Tip timing sensor non-installation location.

[0023] S3. Avoid sampling redundancy in the resonant speed range, establish the number of sampling columns at the minimum installation inter...

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 blade vibration characteristic identification method and system based on compressed sensing. The blade vibration characteristic identification method comprises the followingsteps: establishing a compressed sensing model for a sampling process of a blade-end timing signal; determining a to-be-detected resonance rotation speed interval, a blade-end timing sensor minimum installation interval and a blade-end timing sensor non-installation position; avoiding sampling redundancy of the resonance rotation speed interval, setting a sampling column number of the blade-end timing sensor minimum installation interval, deleting the blade-end timing sensor non-installation position, and calculating an optimum solution for the layout of the blade-end timing sensor conformingto the compressed sensing model; and according to the optimum solution for the layout of the blade-end timing sensor, establishing a blade sampling signal sparse representation model and a blade tip characteristic extraction optimization model, and obtaining blade vibration characteristic parameters by adopting a characteristic identification algorithm based on iterative reweighted L1. By adoptingthe blade vibration characteristic identification method and system, the blade vibration parameter identification accuracy can be effectively improved, and the online monitoring quality of blades canbe improved.

Description

technical field [0001] The invention relates to a blade vibration feature identification method and system based on compressed sensing, which belongs to the field of blade non-contact testing. Background technique [0002] The traditional blade testing method is mainly the strain gauge method, which is inconvenient to install and not suitable for online monitoring. Blade tip timing is developed based on the pulse modulation method, which is a research hotspot in the current non-contact measurement method. For aero-engines, online monitoring and fault diagnosis systems are necessary conditions to ensure their normal operation. The traditional monitoring method of blade vibration characteristics cannot meet the needs of online monitoring of blades. Therefore, in order to detect common cracks and foreign object damage accidents of blades, it is necessary to develop a higher-precision online monitoring method of blade vibration characteristics. Contents of the invention [0...

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): G01M7/02G06F17/50
Inventor 陈雪峰吴淑明杨志勃赵志斌李浩琪王增坤
Owner XI AN JIAOTONG UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com