Bearing defect detecting device and bearing defect detecting method
A technology for flaw detection devices and bearings, which is applied to measuring devices, material analysis through optical means, instruments, etc., can solve the problems of low efficiency of flaw detection and bearing flaw detection, and achieve improved flaw detection efficiency, low cost, and measurement The effect of high accuracy
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Embodiment 1
[0039] Please combine figure 1 , The bearing defect detection device includes a frame 5, a transport assembly, a detection assembly, a drive assembly and a data processing module.
[0040] The frame 5 includes a housing 16 and a support 17 . The housing 16 is a rectangular box as a whole. In other embodiments, the housing 16 can also be a cylindrical box as a whole. As long as the stability of the overall structure of the housing 16 is not affected, other structures can also be used. The interior of the housing 16 is separated by an upright partition 2 19 to form a transmission area (not marked) and a detection area (not marked). The top of the detection area of the housing 16 is separated by a horizontal partition 18 to form a driven area (not shown).
[0041] In this embodiment, the top of the transmission area communicates with one side of the driven area. There are openings on the casing 16 on both sides and bottom of the detection area.
[0042] Please combine figu...
Embodiment 2
[0071] Please combine image 3 The difference between this embodiment 2 and embodiment 1 is that this embodiment 2 provides a bearing defect detection method. The bearing defect detection method is applied to a bearing defect detection device, and the bearing defect detection method includes the following steps:
[0072] Step S1: When the bearing to be tested is transported to the bottom of the mounting frame, control the driving motor 1 to stop and the driving motor 2 to start;
[0073] Step S2: drive the CCD camera to take the machine vision image of the bearing to be tested; drive the eddy current sensor to detect the impedance change value of the bearing to be tested;
[0074] Step S3: Drive the image acquisition card to collect the machine vision image shot by the CCD camera to obtain the original image;
[0075] Step S4: performing filtering, sharpening and feature extraction on the original image;
[0076] Step S5: Using visionscape software to identify the original ...
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