Rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis

A technology of envelope spectrum analysis and rotating machinery, applied in the field of fault diagnosis of rotating machinery based on FastICA-spectral kurtosis-envelope spectrum analysis, can solve the problems of increased difficulty of spectrum analysis, insufficient precision, and increased amplitude. Achieve the effect of improving diagnostic accuracy, improving accuracy, and being easy to implement

Inactive Publication Date: 2014-02-12
HARBIN ENG UNIV
View PDF2 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In this case, FastICA can effectively separate a variety of vibration source signals, but after the test signal is separated by FastICA, there are separated signals that cannot effectively distinguish the most representative fault information. Currently, the frequency spectrum of the separated signal of the fault test signal and the normal Compare the frequency spectrum of the separation signal of the running test signal, and then select the separation signal representing the fault inform

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
  • Rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis
  • Rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis
  • Rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The specific implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the following examples are only used to illustrate the present invention, but are not intended to limit the protection scope of the present invention.

[0022] A flowchart of a method for diagnosing a rotating machinery fault based on FastICA-spectral kurtosis-envelope spectrum analysis in an embodiment of the present invention is as follows figure 1 shown, including the following steps:

[0023] 1) Use the acceleration sensor to measure the vibration acceleration test signal of the rotating machinery rolling bearing. In this embodiment, the bearing failure test data published by CWRU in the United States is selected, and three acceleration sensors arranged at different positions of the rolling bearing are used to obtain three test signals.

[0024] 2) The FastICA method based ...

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 rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis. The method includes the steps that (1), an acceleration sensor is used for obtaining vibration acceleration test signals of a rotating machine; (2), the test signals are separated in a decoupling mode by the adoption of a Fast ICA method with negentropy maximized; (3), the spectrum kurtosis of the separated signals is calculated, and the separated signals capable of representing fault information best are screened out; (4), Hilbert envelope spectrum analysis is performed on the selected separated signals; (5), the frequency corresponding to the peak value of an envelope spectrum is compared with the fault character frequency of a bearing, so that a concrete fault is diagnosed. The effectiveness of the method is verified well by the inner ring fault diagnosis of a rolling bearing of the rotating machine, the fault information is obviously increased, the precision of the fault diagnosis is greatly improved, the fault diagnosis method is easy to achieve and good in real-time performance, and it is illustrated that the rotating machine fault diagnosis method has good application prospects.

Description

technical field [0001] The invention relates to a method for diagnosing a fault of a rotating machine, in particular to a method for diagnosing a fault of a rotating machine based on FastICA-spectral kurtosis-envelope spectrum analysis. Background technique [0002] Rotating machinery is a very important mechanical equipment in the field of production. Due to the many excitation sources and complex nature of rotating machinery vibration. At present, for the fault diagnosis of rotating machinery, most of them need to be unpacked or disassembled, which will inevitably cause downtime and affect operating efficiency. On the other hand, when the rotating machinery is running, due to the fluctuation of its speed, the change of the load or the failure of the equipment, the signal at the measuring point is often obtained by mixing multiple vibration sources through a certain path. In addition, there may be other components operating outside, which will also interfere with the usefu...

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): G01M13/00
Inventor 靳国永朱培鑫马相龙石双霞陈跃华
Owner HARBIN ENG 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