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Rotating machine abnormal vibration source identification method based on VT-ANM-SWT

A technology of VT-ANM-SWT and rotating machinery, applied in character and pattern recognition, computer components, instruments, etc., can solve problems such as differences in the accuracy of calculation results, achieve enhanced analyzability, and solve abnormal vibration of rotating machinery The effect of the source problem

Active Publication Date: 2021-12-03
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the traditional blind source separation algorithm based on negentropy maximization has to rely on experience to select the coefficients of the quadratic function in its negentropy estimation function, so the accuracy of its calculation results will vary due to different signals.

Method used

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  • Rotating machine abnormal vibration source identification method based on VT-ANM-SWT
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  • Rotating machine abnormal vibration source identification method based on VT-ANM-SWT

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Embodiment Construction

[0040] Next, the technical solutions in the embodiments of the present invention will be described in conjunction with the embodiments of the present invention, and apparent, as will be described, is merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative labor are in the scope of the present invention.

[0041] It should be noted that the features of the present invention in the present invention may be combined with each other in the case of an unable conflict.

[0042] The present invention will be further described below in conjunction with specific embodiments, but is not limited as the invention.

[0043] Based on nonlinear, non-stationary, strongly coupled rotation mechanical vibration excitation source response signals, this embodiment proposes a multi-information combination recognition technique based on VT-ANM-SWT-...

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Abstract

The invention relates to a rotating machine fault diagnosis technology, in particular to a rotating machine abnormal vibration source identification method based on VT-ANM-SWT. The method comprises the steps of: obtaining vibration excitation source mixed signals of the surface of a rotating machine through a vibration acceleration sensor; performing independent component analysis on the vibration signals by using an optimized self-adaptive negentropy maximization blind source separation algorithm, and setting the number of results needing to be output by the algorithm according to the pre-estimated number of main vibration sources; and carrying out time-frequency analysis on each separated independent signal by using the SWT steady-state wavelet transform technology. Based on priori knowledge of a rotating machine, the method can effectively identify the vibration sources of the rotating machine, and can also effectively identify the abnormal vibration sources in abnormal operation. The method successfully solves the problem of abnormal vibration sources of a rotating machine, and provides a set of system for analysis of the problems in the future.

Description

Technical field [0001] The present invention belongs to the field of rotating mechanical fault diagnosis, and in particular, the present invention relates to a rotational mechanical heteroscopic source identification method based on VT-ANM-ST. The present invention is suitable for signals such as internal combustion engines, electric motors, and the like. Background technique [0002] Reduce vibration, reduce noise, and reduce the fault is an important research direction in the field of rotating mechanical research. Effective to reduce the noise reduction and fault diagnosis of rotating machinery, accurately identify its main vibration excitation source is key. Rotating machines tend to be complex, internal incentives, and each coupling, passing through different vibration paths, complex response process. Therefore, the excitation source signal of the rotating machine tends to exhibit non-smooth, nonlinear, and multi-rejection system characteristics. [0003] Comparative Traditio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/08G06F2218/12Y02T90/00
Inventor 胡溧贺献博谭征宇杨啟梁彭柳富
Owner WUHAN UNIV OF SCI & TECH
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