Bearing fault detection method

A fault detection and bearing technology, applied in the direction of mechanical bearing testing, etc., can solve problems such as manual comparison, achieve the effect of improving efficiency and accuracy, realizing automation and intelligence, and being easy to implement

Inactive Publication Date: 2015-05-13
DALIAN SCI TEST & CONTROL TECH INST
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  • 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 wavel

Method used

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Examples

Experimental program
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Example Embodiment

[0030] Example 1

[0031] Such as figure 1 As shown, the steps of bearing failure 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 Do not move, the inner ring rotates with the rotary shaft. Adjust the vibration sensor to lightly touch the outer ring of the bearing. The power amplifier is used to amplify the vibration signal collected by the vibration sensor to facilitate subsequent software analysis. Connect the vibration sensor to the acquisition card (NI9234) with a data transmission line, the output end of the acquisition card is connected to the computer, and the signal sent by the vibration sensor is sent to the computer via the acquisition card.

[0033] 2. Test parameter setting, input the parameters of the bearing to be te...

Example

[0045] Implementation 2:

[0046] Test another bearing according to the steps and conditions in Example 1, where: the number of rolling elements z =7, rolling element 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, bearing rotation frequency).

[0047] The computer calculates the fault characteristic frequency according to the calculation formula as: =110.7Hz, =64.3Hz, =87.9Hz, =9.2Hz. The power spectrum analysis shows that there is a line spectrum at a frequency of 9.2 Hz, indicating that the bearing is a cage failure, 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 l...

Claims

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Application Information

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IPC IPC(8): G01M13/04
Inventor 王杨高峰贾兵
Owner DALIAN SCI TEST & CONTROL TECH INST
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