Planetary gear train gear tooth state evaluation method, device thereof, equipment and medium

A technology for planetary gear train and state assessment, applied in measurement devices, design optimization/simulation, special data processing applications, etc. Amplitude information and other issues, to achieve the effect of intuitive results, easy reference, and elimination of the influence of path modulation

Active Publication Date: 2021-10-01
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional fault diagnosis methods are mostly based on characteristic frequency identification, only using the frequency information of the shock vibration signal, ignoring the phase information

Method used

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  • Planetary gear train gear tooth state evaluation method, device thereof, equipment and medium
  • Planetary gear train gear tooth state evaluation method, device thereof, equipment and medium
  • Planetary gear train gear tooth state evaluation method, device thereof, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0042] Example 1

[0043] Refer figure 1 , A planetary wheel-toothed state assessment method based on RMS time domain synchronization average technology, including the following steps:

[0044]Step 1, according to each gear parameters of the planetary wheel, establish finite element simulation model of internal and external engagement pairs, and perform moderate analysis to solve the inherent frequency of the exterior, the outer gear parameters including the number of teeth, modulus and teeth width;

[0045] The internal and external mesh finite element simulation model is to provide a spring unit analog wheel tooth meshing relationship, solve the inherent frequency of the mesh, and the stiffness of the spring unit is set to mesh the average value setting of the convection meshing rigidity.

[0046] Step 2, the planetary wheel vibration signal is acquired, using the VOLD-KALMAN filter order tracking filter to perform the VOLD-KALMAN class tracking filter, remove the harmonic signa...

Example Embodiment

[0069] Example 2

[0070] The planetary wheel beam state assessment device provided by the present invention, such as Figure 8 As shown, the acquisition module, processing module, and display module are included.

[0071] Among them, the acquisition module is used to collect the planetary wheel vibration signal, and transmit the acquired planetary wheel vibration signal to the processing module; process the module to evaluate the planet wheel gear teeth according to the planetary wheel vibration signal, and transmit To display module; display module, configured to display status evaluation results.

Example Embodiment

[0072] Example 3

[0073] A computer device provided by the present invention, such as Figure 9 As shown, including the electrically connected memory and processor, where the memory is stored on the processor, and the processor performs the calculation program, the step of implementing the above state assessment method. E.g figure 1 The steps shown. Alternatively, the processor performs the function of each module / unit in each of the above-described device embodiments when the processor performs the computer program.

[0074] The computer program can be divided into one or more modules / units, the one or more modules / units being stored in the memory and is performed by the processor to complete the present invention.

[0075] The status assessment device / terminal device can be computing devices such as desktop computers, notebooks, handheld computers, and cloud servers. The status assessment device / terminal device can include, but not limited to, a processor, a memory.

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Abstract

The invention discloses a planetary gear train gear tooth state evaluation method and a device thereof, equipment and a medium. Harmonic signals are removed through Vold-Kalman filtering, Protrugram analysis is performed on residual signals, in combination with a modal analysis result, a frequency band where impact vibration is located is recognized, internal and external meshing impact is distinguished, a zero-phase-shift band-pass filter is constructed to extract internal and external meshing impact vibration signals, RMS time domain synchronous average analysis is carried out, and the state of each gear tooth of the planetary gear train is visually evaluated. Compared with a traditional fault diagnosis method based on fault characteristic frequency identification, the fault diagnosis method fully utilizes frequency information, phase information and amplitude information contained in the impact vibration signals, can realize positioning of fault gears, distinguishing of fault types and accurate evaluation of fault damage severity, is visual in result and high in visualization, and facilitates reference of field maintenance personnel.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of planetary gear boxes, and in particular relates to a method, device, equipment and medium for evaluating the tooth state of a planetary gear train based on RMS time-domain synchronous averaging technology. Background technique [0002] The planetary gear train has the advantages of light weight, small size, high load capacity, compact structure, and high transmission efficiency, and is widely used in large-scale mechanical equipment such as aerospace, metallurgical mining, and wind power generators. Due to the harsh working environment, the planetary gear train is prone to local failures. When a gear tooth has a partial fault, due to the reduction of the local bearing capacity, the fault will further develop and induce the failure of other gear teeth; when the fault develops seriously, it will cause the equipment to stop and cause economic losses. [0003] Analyzing vibration signal ch...

Claims

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Application Information

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IPC IPC(8): G01M13/021G01M13/028G06F30/23
CPCG01M13/021G01M13/028G06F30/23Y02T90/00
Inventor 侯成刚杨元梁景源
Owner XI AN JIAOTONG UNIV
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