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A bearing fault detection method

A fault detection and bearing technology, used in measuring devices, testing of mechanical parts, testing of machine/structural parts, etc., can solve problems such as manual comparison, improve efficiency and accuracy, be easy to implement, and realize automation and intelligence the effect of

Inactive Publication Date: 2019-01-25
DALIAN SCI TEST & CONTROL TECH INST
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Chinese patent discloses an automatic rolling bearing fault diagnosis system with application number 200610017613.1, which involves various methods such as power spectrum, cepstrum, and wavelet transform. The final result is compared with the calculated fault characteristic frequency to obtain the fault type, but the fault Manual comparison is still required in the discrimination stage

Method used

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  • A bearing fault detection method

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Experimental program
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Embodiment 1

[0031] Such as figure 1 As shown, the steps of bearing fault detection are:

[0032] 1. Fix the vibration sensor (HD-ST-3), fixed bracket and power amplifier on the workbench of the test machine tool, fix the bearing to be tested on the rotary shaft of the machine tool platform, fix the bearing position with the fixed bracket, and keep the outer ring stationary Without moving, the inner ring rotates with the rotary shaft. Adjust the vibration sensor so that it is in light contact with the outer ring of the bearing. The power amplifier is used to amplify the vibration signal collected by the vibration sensor, which is beneficial to subsequent software analysis. Connect the vibration sensor to the acquisition card (NI9234) with a data transmission line, connect the output end of the acquisition card to the computer, and send the signal sent by the vibration sensor to the computer through the acquisition card.

[0033] 2. Test parameter setting, input the parameters of the bea...

Embodiment 2

[0046] Another bearing is tested according to the steps and conditions in Example 1, wherein: the number of rolling elements z =7, rolling body diameter d =3.969 mm, bearing outer diameter 22mm, bearing inner diameter 8mm, contact angle 0°, bearing pitch circle diameter D=(bearing outer diameter + bearing inner diameter) / 2=15mm, rotation frequency of the machine tool f =25Hz (that is, the rotation frequency of the bearing).

[0047] According to the calculation formula, the computer calculates the fault characteristic frequency as: =110.7Hz, =64.3Hz, =87.9Hz, =9.2Hz. Power spectrum analysis shows that there is a line spectrum at a frequency of 9.2Hz, indicating that the bearing is faulty with a cage, see Figure 4 .

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Abstract

A bearing fault detection method includes six steps of collecting signals, obtaining the fault character frequency, conducting analysis, conducting filtering, extracting thresholds and distinguishing faults. The method has the advantages that the characteristic result of an envelope spectrum is extracted by comprehensively using a power spectrum and wavelet conversion, whether a line spectrum in the bearing detection process is an interference spectrum or a fault line spectrum is judged, and the bearing detection efficiency and accuracy are effectively improved. The method is simple, small in calculation amount and easy to achieve, the detection result can be displayed in a computer in real time, and the automated and intelligent bearing detection is completely achieved.

Description

technical field [0001] The invention relates to a bearing fault detection method, in particular to a method for bearing fault detection by using bearing line spectrum extraction and discrimination. Background technique [0002] Rolling bearings are key components commonly used in mechanical equipment. Whether their working status is normal or not is directly related to the production quality and safety of the entire unit and even the entire production line. Compared with other mechanical parts, rolling bearings have a prominent feature: their life spans are highly discrete, that is, some bearings have greatly exceeded the design life and still work intact, while some bearings fail far before reaching the design life. In actual work, if the bearing is used directly without testing whether it is good or bad, when the equipment breaks down and needs to be repaired, it will greatly increase the difficulty of fault detection and maintenance costs. Therefore, after the bearing le...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
Inventor 王杨高峰贾兵
Owner DALIAN SCI TEST & CONTROL TECH INST
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