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Vibration spectrum analysis-based motorized spindle bearing structure parameter inference method

A technology of structural parameters and electric spindle, applied in the direction of electrical digital data processing, testing of machine/structural components, electrical components, etc., can solve the problems of application limitations of fault diagnosis technology, difficulty in directly obtaining bearing structural parameters, etc., and achieve good practicality sexual effect

Active Publication Date: 2021-11-02
CHENGDU AIRCRAFT INDUSTRY GROUP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the fault diagnosis technology generally requires the structural parameters of the bearing as a supporting condition, and due to the technical secrecy of the manufacturer and the modular packaging of the electric spindle, it is difficult to directly obtain the bearing structural parameters, and the application of the fault diagnosis technology is greatly limited.

Method used

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  • Vibration spectrum analysis-based motorized spindle bearing structure parameter inference method
  • Vibration spectrum analysis-based motorized spindle bearing structure parameter inference method
  • Vibration spectrum analysis-based motorized spindle bearing structure parameter inference method

Examples

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Embodiment 1

[0039] A method for inferring structural parameters of electric spindle bearings based on vibration spectrum analysis, comprising the following steps:

[0040] Step S100: Band-pass filter the vibration signal x(t) of the electric spindle by using a digital filter to eliminate the interference of low-frequency and high-frequency components to the spectrum analysis process;

[0041] Step S200: Read and verify the rotation frequency f of the electric spindle r , search for the maximum value in the specified spectrum interval, and determine the fundamental frequency f b , and corrected by its harmonic frequency information;

[0042] Step S300: The contact angle of the electric spindle bearing is 15° or 25°, based on which a candidate set of scale factor λ is constructed Θ={θ 15° ,θ 25°}, determine the scale factor λ through calculation and logic judgment;

[0043] Step S400: Define the modulation coefficient ρ, specify the central modulation frequency f c and carrier frequenc...

Embodiment 2

[0047] A method for inferring structural parameters of electric spindle bearings based on vibration spectrum analysis, comprising the following steps:

[0048] 1. Arrange the sensor to collect the steady-state vibration signal x(t) of the electric spindle in dry operation, and obtain the rotation frequency f r ;

[0049] 2. Design a digital filter to perform bandpass filtering on the signal x(t), and the filtering passband is [10,20f r ];

[0050] 3. FFT transform to obtain the amplitude spectrum X(f) of x(t), and verify the conversion frequency f according to the harmonic frequency information r ;

[0051] 4. In [0.4f r ,0.47f r ] Search the local maximum value in the interval to determine the fundamental frequency f b ;

[0052] 5. Using harmonic frequency information to f b Make matching correction: calculate nf b ,n=1,2,...,10, check whether there is a local extremum in the X(f) sequence that falls on nf b within a small neighborhood ([nf b -nf Δ , nf b +nf Δ...

Embodiment 3

[0069] A method for inferring structural parameters of electric spindle bearings based on vibration spectrum analysis. A machining center for the production of aeronautical structural parts has a horizontal structure, and its spindle is an integral electric spindle. The model is MFWS-2307 / 24. Under limited parameter conditions, carrying out the bearing structure parameter inference based on vibration spectrum analysis described in the present invention can reliably obtain the bearing structure parameters of this type of electric spindle, laying the foundation for subsequent bearing state evaluation and fault warning. The acceleration sensor is arranged to collect the vibration signal of the main shaft under no-load and stable running state, such as image 3 As shown in (a), the collection location is the front end bearing shell of the electric spindle, the sampling frequency is 25600Hz, the spindle speed is 15000rpm, that is, 250Hz, and the RMS of the time domain signal is 6.85...

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Abstract

The invention discloses a vibration spectrum analysis-based motorized spindle bearing structure parameter inference method, which sequentially carries out the operations of signal acquisition, filtering pretreatment, FFT (Fast Fourier Transform), fundamental frequency search, scaling factor calculation and modulation coefficient sequence construction, and finally obtains motorized spindle bearing structure parameters including scaling factors, the number of rollers and the inner and outer diameter sizes of a bearing. State evaluation and fault early warning of the bearing can be realized. Vibration spectrum analysis is carried out based on the consistency of the motorized spindle vibration signal frequency spectrum and the theory, reverse inference of the motorized spindle bearing structure parameters is achieved, and the practicability and effectiveness of the method are verified through actual production.

Description

technical field [0001] The invention belongs to the technical field of bearing structural parameter inference, and in particular relates to a method for inferring structural parameters of electric spindle bearings based on vibration spectrum analysis. Background technique [0002] Machine tool motorized spindles usually work in high-speed, low-load scenarios with high machining and assembly precision. As the key component connecting the rotor and stator of the electric spindle, the bearing is also the weak and rigid link of the electric spindle system. During the long-term production and service of the machine tool, bearing failures may occur due to poor lubrication, dynamic wear, impact and collision, etc., which are harmful to production. Safety and part quality are threatened. Bearing fault information forms coupling feedback with the environment through acoustic emission, thermal radiation, vibration, etc. Modern fault diagnosis technology can realize bearing status ass...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045G06F17/14G06K9/00H03H17/02
CPCG01M13/045G06F17/142H03H17/02G06F2218/04G06F2218/12
Inventor 周昕李梦梅陶文坚李连玉熊虎山吉勇
Owner CHENGDU AIRCRAFT INDUSTRY GROUP
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