Automatic balancing machine vibration signal processing method

A vibration signal, automatic balance technology, used in static/dynamic balance testing, electrical digital data processing, special data processing applications, etc., can solve problems such as limited conditions, and achieve the effect of improving measurement accuracy and speed

Inactive Publication Date: 2014-12-10
JILIN UNIV
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Problems solved by technology

In practical applications, the conditions of the Hilbert-Huang transformation appear to be too limited

Method used

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  • Automatic balancing machine vibration signal processing method
  • Automatic balancing machine vibration signal processing method
  • Automatic balancing machine vibration signal processing method

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Embodiment Construction

[0051] Step 1: Fitting the collected vibration signals by using the least square method.

[0052] The least squares method is a mathematical optimization method and a commonly used curve fitting method. Its principle is to express several variables that have a certain dependence relationship with corresponding functional expressions, and to minimize the error between the assumed measured value and the real value according to the principle of minimum error, so that the distance between the sampled point and the fitted curve is The sum is the smallest. According to the curve f(x) to be fitted, the requirement y i value and f(x i ) The sum of squares of the difference is the smallest, and then the coefficient in f(x) is selected. The goal to be achieved is to minimize the sample root mean square error s. The expression of s is:

[0053] S = 1 n - 1 ...

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Abstract

The invention discloses an automatic balancing machine vibration signal processing method. Aiming to solve common problems of frequency multiplication interference, non-integral harmonic interference and strong noise interference to vibration signals to be processed, the method includes fitting general frequency values of different frequency components of the signals by the least square method to obtain wavelet transform scale factors, performing band-pass filtering on the signals through the Morlet complex continuous wavelet transform to accurately extract unbalanced vibration signals with revolving speed the same with that of a rotor, and finally calculating amplitude and frequency of the vibration signals with both measurement precision and speed increased. Since phase of the vibration signals is calculated by the full-phase FFT (fast Fourier transform) spectral analysis, initial phase of the vibration signals can be acquired accurately by the method.

Description

technical field [0001] The invention belongs to the related field of automatic balancing machine vibration signal processing, in particular to a vibration signal processing method based on Morlet complex continuous wavelet transform and omnidirectional FFT spectrum analysis method. Background technique [0002] Rotating machinery pervades all fields of life and production, and accounts for a huge proportion of many mechanical equipment. However, due to design and manufacturing reasons, the mass distribution of the rotor itself is uneven, the machine produces errors in the process of production and assembly, the machine produces different degrees of wear on the rotor during operation, and different environmental influences. There is a certain deviation between the main inertial axis and the rotation axis, this phenomenon is called rotor mass imbalance. During the rotation of an unbalanced rotor, the unbalanced mass produces an unbalanced force. The unbalanced force will caus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G01M1/14
Inventor 丛玉良郭一粟李晓雷张书扬张丽云
Owner JILIN UNIV
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