Fault feature extraction method and fault feature recognition method of vibration signal of rolling mill chatter mark

A technology of vibration signals and fault characteristics, applied in instruments, measuring devices, measuring ultrasonic/sonic/infrasonic waves, etc., can solve the problems of frequency modulation, masking vibration signal information of rolling mill vibration marks, etc., to improve accuracy, humanized design, The effect of simple identification methods

Active Publication Date: 2013-05-22
CHONGQING UNIV
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Problems solved by technology

However, there are unavoidable speed fluctuations in the rolling mill, which leads to the measured vibration signal being a non-stationary random s

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  • Fault feature extraction method and fault feature recognition method of vibration signal of rolling mill chatter mark
  • Fault feature extraction method and fault feature recognition method of vibration signal of rolling mill chatter mark
  • Fault feature extraction method and fault feature recognition method of vibration signal of rolling mill chatter mark

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Embodiment Construction

[0038] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0039] like figure 1 As shown, the fault extraction method of the rolling mill chatter vibration signal consists of the following steps:

[0040]S1. Collect the vibration signal of the vibration mark of the rolling mill, and perform frequency spectrum analysis on the vibration signal of the vibration mark to determine the frequency band of the formant of the vibration signal of the vibration mark. Since the modulation phenomenon is most likely to appear in the formant frequency band range, the accuracy of fault extraction of vibration t...

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Abstract

The invention provides a fault feature extraction method and a fault feature recognition method of a vibration signal of a rolling mill chatter mark, and belongs to the field of rolling mill fault monitoring. The fault feature extraction method analyzes the vibration signal of the chatter mark via autocorrelation demodulation based on a second-order cycle, so unstable vibration signal of chatter mark is processed through frequency demodulation, a demodulated second-order cycle autocorrelation function is sliced according to time domain, and modulation information of the chatter mark vibration signal is kept completely. Therefore, accuracy of fault feature extraction of the vibration signal of the chatter mark is improved. The fault feature recognition method recognizes whether the rolling mill faults exist or not by the form of power spectrum information entropy, influence of rolling mill speed fluctuation needs not to be considered, and the recognition method is simple and accurate.

Description

technical field [0001] The present invention relates to a fault feature extraction method and identification method of rolling mill vibration trace vibration signals, in particular to a fault feature extraction method of rolling mill vibration trace vibration signals based on second-order cyclic autocorrelation function and a method based on power spectrum information entropy Fault identification method of rolling mill chatter vibration signal. Background technique [0002] On-line control of rolling mill vibration and chatter vibration has always been a worldwide technical problem. Most steel companies in the world have more or less rolling mill vibration problems. The vibration problem of the rolling mill not only seriously affects the mechanical properties and precision of the rolling mill, but also the strong vibration of the rolling mill will seriously affect the surface quality of the product and bring huge economic losses to the enterprise. In order to study the caus...

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Application Information

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IPC IPC(8): G01H17/00
Inventor 邵毅敏余文念吴胜利邓潇王利明丁岩
Owner CHONGQING UNIV
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