Compressor stall pre-warning signal reconstruction and identification method based on single-path sensor signal

A sensor signal and signal reconstruction technology, applied in jet engine testing, gas turbine engine testing, instruments, etc., can solve problems such as time-consuming, inability to meet the real-time requirements for stall signal identification, and large data volume, avoiding the need for a large number of installations. The effect of sensor and large-scale engineering application value

Active Publication Date: 2018-01-12
NORTHWESTERN POLYTECHNICAL UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Typically, as disclosed in the patent application publication number CN103216461A, the limitation of this method is that the amount of data is large and time-consuming, and it cannot meet the real-time requirements for stall signal identification during stall and surge control in engineering

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
  • Compressor stall pre-warning signal reconstruction and identification method based on single-path sensor signal
  • Compressor stall pre-warning signal reconstruction and identification method based on single-path sensor signal
  • Compressor stall pre-warning signal reconstruction and identification method based on single-path sensor signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0050] A method for reconstruction and identification of compressor stall precursor signals based on single-channel sensor signals in this embodiment includes the following steps:

[0051] Step 1: Install a single-way pressure sensor in the circumferential direction of the front casing of the compressor to obtain the compressor at θ 0 position pressure signal

[0052] Step 2: The pressure signal obtained by the above-mentioned single-channel sensor As the original signal, take 2N=14, T=0.25T signal , reconstruct θ by signal translation method 1 ... θ 14 signal at The original signal and the reconstructed circumferential multi-channel stall precursor signal change with time as shown in the attached image 3 (As an illustration, the figure draws where θ 3 , θ 6 , θ 9 , θ 12 at the signal).

[0053] Step 3: Convert the original signal to obtained wi...

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 provides a compressor stall pre-warning signal reconstruction and identification method based on a single-path sensor signal. The method includes obtaining the pressure signal through asingle-path sensor installed in the circumferential direction of a front-stage case of a compressor; and then according to the rotation characteristic of the compressor stall pre-warning signal, simulating the output of a multi-path sensor in the circumferential direction by adopting a signal translation method, and realizing the multi-path stall pre-warning signal reconstruction of the compressor. The reconstructed multi-path stall pre-warning signal is expressed as the superposition of the torus average and the circumferential pressure disturbance in the vector form, and the circumferentialpressure disturbance vector is subjected to the spatial Fourier transform to be decomposed into the superposition of multi-order modal waves; the first-order modal amplitude is compared with the set threshold value, and the stall is considered to occur when the threshold value is exceeded, and the identification of the stall pre-warning signal is realized. A single sensor can be used to replace aplurality of sensors, so that the defect that a plurality of sensors are installed is overcome, and the method has a large engineering application value.

Description

technical field [0001] The invention relates to the technical field of aero-turbine engines, in particular to a method for reconstructing and identifying a compressor stall precursor signal based on a single-channel sensor signal. Background technique [0002] As the power of modern aircraft, in order to increase the thrust-to-weight ratio and expand the stable working range, the aero turbine engine requires its compressor components to have a higher boost ratio and a wider stable working range. However, according to the working principle of the compressor, as the boost ratio increases, the air flow into the compressor decreases, and the airflow will stall, which will cause surge, making the compressor enter an unstable region, affecting the working safety of the compressor and even the entire engine. [0003] When the aero turbine engine is working, it is necessary to control the stall and surge of the compressor. When the stall is about to occur, the compressor is in an un...

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): G01L23/00G01M15/14
Inventor 苏三买刘俊杰陈亚新
Owner NORTHWESTERN POLYTECHNICAL UNIV
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