Diagnosis method for low-frequency fluid vibration excitation failure of compressor based on axial vibration analysis

An axial vibration and fault diagnosis technology, which is applied to machines/engines, mechanical equipment, liquid variable capacity machinery, etc., and can solve problems such as the inability to perform quantitative monitoring and tracking, and the inability to accurately classify fault frequencies.

Active Publication Date: 2013-03-13
XIAN SHAANGU POWER
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This traditional method cannot accurately divide the fault frequency in the characteristic boundary area and overlapping area, nor can it quantify th

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
  • Diagnosis method for low-frequency fluid vibration excitation failure of compressor based on axial vibration analysis
  • Diagnosis method for low-frequency fluid vibration excitation failure of compressor based on axial vibration analysis
  • Diagnosis method for low-frequency fluid vibration excitation failure of compressor based on axial vibration analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention introduces axial low-frequency (frequency between 0 and rotation frequency) vibration signal analysis technology, adopts spectrum refinement analysis on the dynamic AC part in the axial vibration signal, and accurately identifies, diagnoses, and diagnoses low-frequency fluid-excited vibration faults. Quantitative tracking and monitoring.

[0048] First of all, in order to make the obtained vibration signal more clearly show the low-frequency fault of the compressor, the coherence between it and the change of the DC signal is investigated, the influence of the axial movement signal on the vibration signal is eliminated, and the obtained axial vibration AC Part of the signal is transformed by FFT, and the characteristic spectral line interpolation technology is used to obtain accurate amplitude, frequency and phase, and make an accurate spectrum to better highlight the actual vibration characteristics of low-frequency fluid excitation fault signals. Co...

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 diagnosis method for a low-frequency fluid vibration excitation failure of a compressor based on axial vibration analysis. The method comprises the steps that an acquired shaft vibration signal is resolved into a direct current component and a dynamic alternating current component; then dynamic signal frequencies related to axial movement of a rotor are removed by coherence analysis; a residual frequency spectrum is continuously refined by further local frequencies; fluid impact characteristic frequency range energy in a low-frequency component is analyzed; analysis and comparison with a typical failure characteristic signal are conducted; and the low-frequency fluid vibration excitation failure can be quickly distinguished and judged. With the adoption of the method, quantification description of states of vane blades impacted by abnormal fluid is conducted with energy spectrum density of a low-frequency air flow characteristic frequency range, and the low-frequency fluid vibration excitation failure is accurately identified and quantified, tracked and monitored in real time through trend tracking analysis.

Description

technical field [0001] The invention relates to a fault diagnosis technology for the operating state of a compressor, in particular to a method for quickly discriminating and quantitatively tracking and monitoring low-frequency vibration faults by using axial vibration signals of a compressor. Background technique [0002] During the operation of the compressor, in addition to the faults of the rotation frequency, due to the adjustment of the working conditions, the irregular daily operation and the problems of the blades, impellers, valves, and flow channels, the faults of the low-frequency (frequency between 0 and the rotation frequency) fluid excitation, It mainly includes more than ten kinds of low-frequency nonlinear faults, such as oil film whirl, oil film oscillation, clogging, rotation detachment, airflow excitation, surge, air seal wear, support looseness and pipeline excitation. Such faults occur frequently. Especially under the action of cyclic stress such as long...

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): F04B51/00
Inventor 金颖郎博王斗印建安陈党民李文海侯新军马德洁吴广辉
Owner XIAN SHAANGU POWER
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